Podcasts about data warehousing

Highlights from this week's conversation include:Ruben's Background (1:14)Defining Operational Data (5:20)The Convergence of Operational and Analytical Data (10:53)Evolution from Data Warehousing to Fulfillment Centers (13:19)Challenges of API Integration (18:25)Understanding Data Complexity (22:18)Database vs. API Calls (25:32)Real-Time Database Views (28:15)The Evolution of Data Technology (32:37)Future Topics on PostgreSQL Scaling and Parting Thoughts (34:02)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Most people just assume they need analytics. But what if I told you that might not be what your company needed right now? We'll walk through some scenarios on medical billing companies and their need for data-driven answers, how to get them, and what they really need right now. We'll also cover some other important factors like who you need in your organization to be successful with data warehousing or analytics.

In this episode, I speak with Vinoth Chandar about Onehouse, a Universal Data Lakehouse and the only data platform instantly accessible from any engine, from BI to AI.Try RaycastWant to improve your productivity on macOS with a Shortcut to everything? Try Raycast, and get 10% off with the link, go.chrischinchilla.com/raycast. For show notes and an interactive transcript, visit chrischinchilla.com/podcast/To reach out and say hello, visit chrischinchilla.com/contact/To support the show for ad-free listening and extra content, visit chrischinchilla.com/support/

Daten(banken) versionieren – klingt maximal unsexy, spart aber Stress im Deployment. Warum ohne Schema-Versionierung selbst kleine Änderungen große Probleme verursachen und was ORMs, Flyway oder Liquibase damit zu tun haben, erfahrt ihr hier. Daten historisieren ist ein Must-have für Compliance, Reproduzierbarkeit und Modellierung. Aber Achtung: Nicht jede Lösung passt für jede Datenbank und den Live-Betrieb. Wir geben Tipps, wie ihr eure Datenprodukte systematisch und effizient im Griff behaltet. **Zusammenfassung** Schema-Versionierung ist essenziell, um Änderungen an Datenbanken nachvollziehbar und reibungslos ins Deployment einzubinden Fehlende Versionierung kann zu kaputten Prozessen führen, wenn Schema-Änderungen nicht dokumentiert und automatisiert umgesetzt werden Werkzeuge wie ORMs, Flyway oder Liquibase helfen dabei, Änderungen an Datenbankschemata strukturiert zu verwalten Historisierung von Daten ist für Compliance, Reproduzierbarkeit und Modellierung entscheidend   Ansätze zur Datenhistorisierung: Append-only-Strategien vs. System-Versionierung Herausforderungen: Performance-Engpässe, hohe Pflegekosten und Kompatibilitätsprobleme je nach Datenbank und Migrationstool   Best Practices: Versionierung systematisch einführen, Automatisierung priorisieren und sicherstellen, dass Downgrades funktionieren.   **Links** #58: Arm, aber sexy: Data Warehousing at Scale ohne Budget https://www.podbean.com/ew/pb-gywt4-1719aef #52: In-process Datenbanken und das Ende von Big Data https://www.podbean.com/ew/pb-tekgi-16896e4 #36: Der Data Mesh Hype und was davon bleibt https://www.podbean.com/ew/pb-7er7v-15080c1 Flyway: https://www.red-gate.com/products/flyway/ Liquibase: https://www.liquibase.com/ Alembic (für SQLAlchemy): https://alembic.sqlalchemy.org/en/latest/ MariaDB: https://mariadb.org/ ClickHouse: https://clickhouse.com/ Fragen, Feedback und Themenwünsche gern an podcast@inwt-statistics.de

SummaryIn this episode of Leadership Bites, Guy Bloom interviews Data Coach Paul Graeve, who shares insights on the intersection of leadership and data management. Paul  emphasizes the simplicity of data, debunks myths surrounding its complexity, and discusses the critical role leaders play in fostering a data-driven culture. He highlights the importance of viewing data as an organizational asset and the challenges organizations face in managing their data effectively. The conversation also covers the significance of data warehousing and the need for intentionality in data management practices. In this conversation, Guy Bloom and Data Coach Paul discuss the importance of data-driven leadership and the actionable steps leaders can take to foster a data-driven culture within their organizations. They explore the role of AI in data management, the challenges leaders face in transforming their data practices, and the mindset required to effectively utilize data for decision-making and organizational growth. The discussion emphasizes the value of data as a foundational asset for businesses and the necessity of intentionality and perseverance in building a data-driven culture.TakeawaysData is fundamentally simple: strings, dates, and numbers.Leaders must value data to invest in it effectively.Data can transform every aspect of an organization.A data-driven culture is essential for effective leadership.Organizations often struggle with scattered data across systems.Data warehousing provides a solution for managing data effectively.Leaders should be intentional about data management practices.Understanding data is crucial for strategic decision-making.Data is the identity of an organization, reflecting its operations.Building a data-driven culture is a continuous journey. Leaders must establish a culture that values data.Actionable insights from data require a data-driven mindset.Replacing 'I think' with 'Do we have data?' fosters better decision-making.Data-driven culture leads to unified decision-making among teams.AI can assist in managing and utilizing data effectively.Data is the foundation for all technology, including AI.Intentionality and perseverance are key in data transformation.Data-driven leadership improves organizational growth and decision-making.Survey tools can provide valuable insights into team morale and performance.Investing in data management is crucial for future business success.Sound Bites"The first step for a leader is to value data.""Your data is who your organization is.""We need to get our data ready.""AI can be a great tool in that effort.""We need to be intentional about it.""Data is our most valuable asset.""Data is the foundation and the future of business.""We are going to own our data.""Let's use data to make better decisions.""Everyone wins when the leader becomes data driven.""Data is incredibly simple."To find out more about Guy Bloom and his award winning work in Team Coaching, Leadership Development and Executive Coaching click below.The link to everything CLICK HEREUK: 07827 953814Email: guybloom@livingbrave.com Web: www.livingbrave.com

Experience the cutting-edge insights of data warehousing pioneer Tom Coffing as he unveils the groundbreaking capabilities of his company, Coffing Data Warehousing.  Discover how they've revolutionized data integration, empowering businesses to seamlessly join, migrate, and query data across multiple platforms effortlessly.  He also shares valuable marketing insights for this market, how they work on lead generation and the importance of staying updated on the best marketing practices.

Bill Inmon is considered the father of the data warehouse. I just got back from spending a couple of days with Bill, and we discussed the history of the data industry and the data warehouse. On my flight back, I realized people could benefit from a short version of our conversation. In this short chat, we discuss what a data warehouse is (and is not), Kimball and Inmon, the origins of the data warehouse, and much more.

Data Science and Data Warehousing would seem to be two peas in a pod! Both disciplines focus on generating valuable data-driven insights to optimize business decisions. And yet at many organizations, they are run by different groups that often don't even talk to each other. That's likely changing soon, in part because of advances in both worlds. Learn more on this episode of DM Radio!

Highlights from this week's conversation include:Patrik's Background and Journey to Wilde (1:12)The Evolution of QR Codes (4:09)Marketing Analytics and Clean Rooms (9:52)Challenges in Data Sharing (13:20)Technical Challenges with Clean Rooms (15:37)Exploring Current Data Infrastructure (19:11)Data Orchestration Tools (22:50)Performance Tuning and Data Syncing (24:00)Choosing Data Tools (26:08)Mother Duck and Data Warehousing (00:30:31)Flexible Data Architecture (32:40)DuckDB Implementation (35:36)Data Marketplace Concept (38:34)Asset Availability in Data Queries (42:21)Transition from Software Engineering to Data Stack (46:36)Data Contracts and Type Safety (49:10)Database Schema Perspectives (50:27)Final Thoughts and Takeaways (51:35)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Tom ist ein bekannter Experte in der Power BI-Community und teilt in diesem Interview sein umfangreiches Wissen und seine Erfahrungen. Er spricht mit Artur über die Entwicklung von Power BI von den Anfängen bis zur heutigen Enterprise-Plattform, die Herausforderungen und Chancen von Power BI Governance, und wie Microsoft Fabric in diese Landschaft passt. Tom erläutert, wie wichtig es ist, eine Balance zwischen Flexibilität und Governance in großen Organisationen zu finden, um sicherzustellen, dass Daten-Assets geschützt sind und gleichzeitig die Möglichkeiten für die Nutzer maximiert werden. Er teilt auch seine Sichtweise auf die Bedeutung von Community und Wissenstransfer in der Power BI-Welt. Thomas „Tom“ Martens wurde als MSFT Data Platform MVP ausgezeichnet und arbeitet als Solution Architect bei Munich Re (www.munichre.com). Seit über 25 Jahren liefert Tom Martens Lösungen für Business Intelligence, Data Warehousing und Analytics. Sein aktuelles Interesse gilt der Anwendung von Analysemethoden auf kleine und große Datenmengen und der Datenvisualisierung, neben der Bereitstellung von Microsoft Fabric und Power BI für Benutzer zur Bewältigung analytischer Herausforderungen. Tom ist ein regelmäßiger Redner auf internationalen Konferenzen und Anwendertreffen. Tom ist Co-Autor des Buches „Pro DAX with Power BI“.

Dies ist ein Gedankenexperiment, das euch zeigt, wie man mit wenig Budget und minimaler Hardware eine clevere self-service Umgebung bastelt, die auf dem Laptop oder einer günstigen Cloud-Instanz läuft.  Wir sprechen darüber wie so ein Stack aussehen kann (Storage Layer, Data Layer, Compute Layer) und welche Anwendungsszenarien es gibt, aber auch wo die Grenzen bei einem solchen Szenario liegen.    ***Links*** #52: In-process Datenbanken und das Ende von Big Data https://www.podbean.com/ew/pb-tekgi-16896e4 Engineering Kiosk - #129 Simplify Your Stack: Files statt Datenbanken! https://engineeringkiosk.dev/podcast/episode/129-simplify-your-stack-files-statt-datenbanken/ https://delta.io/ https://ibis-project.org/ https://duckdb.org/

We had a blast at ELC Annual 2024, so we wanted to bring our podcast listeners some of the best highlights from popular sessions! This episode features one of the ELC Annual sessions with Anupam Singh (VP of AI & Growth Engineering @ Roblox) & Maria Kazandjieva (Co-Founder @ Graft), as they discuss building AI/ML models at a massive scale. Anupam shares how Roblox – an immersive 3D platform with more than 77 million daily active users – scaled from zero to nearly 200 different AI models. They discuss strategies for deciding when to use open source vs. creating proprietary models; how to operationalize your models for 24/7 use; the importance of data pipelines; current and future challenges to keep in mind when creating / scaling AI models; and answer some questions from the live Q&A.ABOUT ANUPAM SINGHAnupam leads Roblox's AI & Growth engineering teams, which provide the infrastructure for high throughput AI services for safety, recommendations, and assistants. Before Roblox, Anupam was chief customer officer at Cloudera, where he led product, engineering, and field teams for Data Warehousing products. Anupam has co-founded two companies in the Big Data space, acquired by Cloudera and Marketshare, respectively. Anupam built his database expertise on the SQL Query Optimizer teams at Oracle, Sybase (now SAP), and Informix (now IBM). He graduated from Pune University in India and holds patents in the areas of automatic SQL performance tuning, object databases, and resilient query execution."The journey always starts with, 'Let's pick a model and first decide whether we want to build our own model or we want to use one of the open source ones.' The next step is, 'Do you want to do it on public cloud?' Roblox has 24 data centers worldwide and two massive data centers in America. We have hundreds of thousands of CPUs that we could use and so for us, it's very important to decide, 'Do we really need a large model? Can you take the 700 billion model, make it into a 7 billion parameter model, and magically get it to run on the CPU?'”- Anupam Singh   ABOUT MARIA KAZANDJIEVAMaria is a co-founder and an engineering leader at Graft, an early-stage AI startup. Prior to that, Maria worked at Netflix, where her team earned two Emmy awards for technical achievement. She holds a PhD in Computer Science from Stanford University. Outside of work, you can find Maria kickboxing & trail running, baking & eating carbs, or relaxing with a non-fiction book and her two feline supurrvisors, Foosball and Gemma.SHOW NOTES:How Roblox is being powered by AI (00:30)The process of scaling AI models from zero to 200 @ Roblox (2:34)Examples of Roblox starting with open source vs. building its own model (5:06)What AI models are doing in terms of safety for children (7:12)Strategies for deciding to use open source vs. building a proprietary model (11:19)Why Roblox is choosing to open source some of their own models (13:06)How to operationalize / engineer AI models for 24/7 use at scale (14:20)The importance of data pipelines in the AI journey (16:18)Current / future challenges as Roblox continues to scale its models (19:52)Tips for identifying use cases where implementing & scaling AI can be helpful (22:21)Audience Q&A: How do you make decisions when you're lacking specific measurements / quantities? (24:29)When you deploy a model, how do you ensure confidence in its performance? (27:36)Recommendations for allocating / estimating the budget for a model (29:03)Anupam's insights on maintaining so many models effectively (31:03)How do you imagine the multimodality of your 3D models moving forward? (33:11)This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/

The Data Product Management In Action podcast, brought to you by Soda and executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences.  In Season 01, Episode 19, host Nadiem von Heydebrand interviews Pradeep Fernando, who leads the data and metadata management initiative at Swisscom. They explore key topics in data product management, including the definition and categorization of data products, the role of AI, prioritization strategies, and the application of product management principles. Pradeep shares valuable insights and experiences on successfully implementing data product management within organizations. About our host Nadiem von Heydebrand: Nadiem is the CEO and Co-Founder of Mindfuel. In 2019, he merged his passion for data science with product management, becoming a thought leader in data product management. Nadiem is dedicated to demonstrating the true value contribution of data. With over a decade of experience in the data industry, Nadiem leverages his expertise to scale data platforms, implement data mesh concepts, and transform AI performance into business performance, delighting consumers at global organizations that include Volkswagen, Munich Re, Allianz, Red Bull, and Vorwerk. Connect with Nadiem on LinkedIn. About our guest Pradeep Fernando: Pradeep is a seasoned data product leader with over 6 years of data product leadership experience and over 10 years of product management experience. He leads or is a key contributor to several company-wide data & analytics initiatives at Swisscom such as Data as a Product (Data Mesh), One Data Platform, Machine Learning (Factory), MetaData management, Self-service data & analytics, BI Tooling Strategy, Cloud Transformation, Big Data platforms,and Data warehousing. Previously, he was a product manager at both Swisscom's B2B and Innovation units both building new products and optimizing mature products (profitability) in the domains of enterprise mobile fleet management, cyber-and mobile device security.Pradeep is also passionate about and experienced in leading the development of data products and transforming IT delivery teams into empowered, agile product teams. And, he is always happy to engage in a conversation about lean product management or "heavier" topics such as humanity's future or our past. Connect with Pradeep on LinkedIn. All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else.  Join the conversation on LinkedIn.  Apply to be a guest or nominate someone that you know.  Do you love what you're listening to? Please rate and review the podcast, and share it with fellow practitioners you know. Your support helps us reach more listeners and continue providing valuable insights!              

Want to learn more Postgres? Get on the waiting list for the full course: https://masteringpostgres.com. In this interview, I dive deep with Craig Kerstiens from Crunchy Data into the world of Postgres, covering its rise to prominence, scaling at Heroku, and the power of Postgres extensions. Craig also shares insights on database sharding, the future of Postgres, and why developers love working with it. Follow Craig: Twitter: https://twitter.com/craigkerstiens Crunchy Data Blog: https://www.crunchydata.com/blog Follow Aaron: Twitter: https://twitter.com/aarondfrancis LinkedIn: https://www.linkedin.com/in/aarondfrancis Website: https://aaronfrancis.com - find articles, podcasts, courses, and more. Chapters: 00:00 - Introduction: Welcome to Database School 00:20 - Guest Introduction: Craig Kerstiens and Crunchy Data 01:40 - Craig's Journey from Heroku to Crunchy Data 02:55 - Scaling Postgres at Heroku 04:50 - Mastering Postgres Course Announcement 05:30 - The Importance of Postgres at Heroku 07:50 - The Value of Live SQL with Data Clips 09:25 - Data Clips for Business Intelligence and Real-Time Analytics 11:05 - Heroku's Unique Company Culture and How Data Clips Came to Be 12:30 - Postgres Extensions and Marketplace 14:00 - Citus: Scaling Postgres for Multi-Tenant Applications 15:40 - The Challenges of Sharding in Databases 18:00 - Managing Large Databases and Sharding Keys with Citus 24:00 - The Evolution of Postgres and Its Growing Popularity 31:00 - Postgres for Developers and the Importance of Extensions 35:00 - Extensions as Proving Grounds for Core Postgres Features 37:50 - Building an Extension Marketplace for Postgres 41:00 - Postgres as a Data Platform and Developer Flexibility 46:00 - Why Developers Love Postgres: Stability, Extensions, and Ownership 51:00 - DuckDB: A Fascinating New Database Approach 53:30 - Crunchy Data: What They Offer and Why It Matters 58:30 - Expanding Postgres with DuckDB for Data Warehousing 01:00:00 - Wrapping Up: Where to Find Craig and Crunchy Data

What's up everyone, today we have the pleasure of sitting down with Erin Foxworthy, Industry Lead, Advertisers & Agencies at Snowflake. Summary: In this episode, Erin takes us on a ride through the merging worlds of martech, adtech, AI, and privacy, giving a bold glimpse into what's next for customer data. We cover how you can use 1st party data for seed predictions, why it's time you move on from APIs and adopt data sharing and what the unified data layer means for marketers. Oh and Erin gives us her take on the uncertainty of Google's cookie deprecation rollback.About ErinErin is former Category Development Lead at Microsoft Advertising collaborating with product, marketing and sales teamsShe later became Executive VP of Partnerships and Innovation at Horizon Media – the popular NYC-based ad agency –  focused on first-to-market creative and data opportunities for her clientsShe's also a well traveled speaker and was awarded the Technology Leader at Cynopsis Top Women in Media in 2020Today Erin serves as the Industry Principal for media, entertainment and advertising at Snowflake, focusing on advertisers and agencies The duality of creativity and measurement in advertisingIn the early days of advertising, media was often an afterthought. Erin recalls how the majority of a CMO's focus was on perfecting commercial spots, direct mail, or magazine ads, with meticulous attention to detail. The creative side was the talk of the industry, leaving media playing a supporting role. However, as digital platforms emerged and ad units fragmented, the dynamic shifted. Creative and media teams, which were once tightly knit, began to drift apart, especially as agencies expanded to handle the complexity of new media channels.Erin notes that media became so specialized across different digital platforms that it gradually separated from the creative process. In her own career, which began at a full-service agency, she experienced this firsthand. Early on, she worked side by side with creative directors and copywriters, but as agencies scaled and media buying spread across hundreds of channels, those joint discussions became fewer. The focus shifted to simply managing the volume, leaving less time for deeper creative collaboration.What's promising, though, is the potential for artificial intelligence (AI) to bridge that gap again. Erin suggests that advancements in AI are already pushing the industry toward more integrated workflows. Platforms are increasingly using AI-driven algorithms to optimize ad performance—automating decisions and delivering results in a more turnkey fashion. This, she believes, will allow media teams to shift some of their focus back toward creative strategy.In her view, AI could also democratize creativity, empowering marketers who may not traditionally be involved in creative production to step into that space. With AI handling the data-driven optimization, there's an opportunity for marketers and agencies to bring creative and media closer together once again, regaining the collaboration that once defined the advertising world.Key takeaway: AI advancements are reshaping the relationship between creative and media in advertising, offering a chance to reconnect these disciplines. This evolution could allow marketers to step into creative roles while freeing up time to focus on what works, both organically and through paid channels.The future of automation in creative marketingWe often wonder how far we can trust machines to handle core marketing tasks, especially in areas like email where AI-driven recommendations are common but often met with skepticism. When asked about automation in creative marketing, Erin shared a candid perspective on where the industry stands.Erin points out that automation's impact is already visible in marketing operations, particularly in tasks like resizing creative and ad serving. These areas are primed for disruption, and automation is becoming essential in managing the growing complexity of campaign delivery. However, when it comes to more creative and brand-focused ad units, she remains unconvinced that AI is ready to replace the human touch anytime soon.For Erin, the heart of the issue lies in the nuances of brand messaging. Creative ad units are designed to build emotional connections with consumers, and this often requires a level of empathy and intuition that AI can't replicate—at least not yet. While AI can handle logistics and optimization in areas like programmatic advertising, the human element remains critical for conveying the personality and tone of a brand.She sees AI's role expanding in marketing operations, but for now, brand messaging is where human creativity holds its ground. As AI continues to evolve, marketers will need to find the right balance, leveraging automation for efficiency while maintaining the human insight necessary to craft compelling, emotionally resonant ads.Key takeaway: Automation will continue to disrupt marketing operations, particularly in optimizing workflows and ad delivery. However, for creative brand messaging, human creativity remains irreplaceable. Marketers should embrace AI for its efficiency while ensuring it complements, rather than replaces, the human touch in their messaging strategy.Understanding the convergence of Martech and AdTechWhen asked about the distinction between Martech and AdTech, Erin provides an insightful perspective. Traditionally, people often simplify the divide: Martech is for marketers and AdTech is for advertisers. However, she views this as an oversimplification that doesn't capture the true nature of the industry's evolution. Both are ultimately driven by technology—platforms created by companies that serve both marketers and advertisers as users. The complexity lies not in who controls the platform, but in finding the right technology to meet the needs of a specific enterprise.Erin emphasizes that this convergence is especially noticeable as personalization becomes central to marketing and advertising strategies. Where Martech was once seen as powering owned channels like email and SMS, and AdTech controlled paid channels like social ads and programmatic buys, today, the line between the two is blurring. Personalization is no longer limited to owned channels; it's becoming essential in paid media, social platforms, and even connected TV (CTV) campaigns. This level of integration hinges on having the right data infrastructure, enabling one-to-one conversations across all customer touchpoints.What makes this especially challenging is the industry's historical lack of unified strategy across these channels. Erin notes that traditionally, marketers have operated in silos—sending emails, running social ads, and buying media independently. Now, with the growing expectation for a seamless, personalized experience, businesses must integrate these efforts to understand how various touchpoints—whether through an SMS campaign, social ad, or CTV buy—are interacting to shape the customer journey.At its core, this shift is about harnessing data across all platforms and using it to create personalized, consistent messaging. For Erin, the convergence of Martech and AdTech means unifying applications on a scalable platform that can support this kind of holistic approach. This trend is exciting and challenging, pushing companies to rethink the ways they manage customer data and interactions.Key takeaway: The traditional divide between Martech and AdTech is becoming outdated. As personalization continues to drive both marketing and advertising, the real challenge lies in unifying customer interactions across all channels on a scalable platform. Businesses must move beyond simple categorizations and focus on ...

The newest tech SEO conference is coming to Raleigh, North Carolina, this fall! Guests JR Oakes, Patrick Stox, and Matthew Kay have come together to create an all-new SEO experience, Tech SEO Connect, coming to Raleigh on October 17th & 18th. Don't miss the heavy list of speakers covering core web vitals, Ahrefs Lang, data warehousing, BigQuery, machine learning, and more. In this show, we discuss the origin of Tech SEO Connect with the founders themselves. Learn what makes Tech SEO Connect different from the rest with a diverse content lineup made by technical SEOs for technical SEOs. Get your tickets and mark your calendar as we are all gearing up for the inaugural Tech SEO Connect conference coming this fall. See you there! Key Segments: [00:01:00] Introducing Panelists [00:03:04] The All New TechSEOConnect Conference  [00:07:18] Who is TechSEOConnect Designed For?  [00:12:29] Speakers on the Ballot for Tech SEO Connect [00:13:40] EDGE of the Web Title Sponsor: Site Strategics [00:21:40] Featured Sponsors to Expect at the Conference [00:23:48] What Challenges Arise While Planning an Industry Conference?  [00:24:00] EDGE of The Web Sponsor: Wix   [00:25:47] Unexpected Benefits to Planning Tech SEO Connect  [00:28:06] Tech SEO Connect's Venue Follow Our Guests JR Oakes JR Oakes GitHub Patrick Stox  Matthew Kay  TechSEOConnect Resources:  Tech SEO Connect (Tickets Here)

In dieser Episode sprechen wir mit Claire Fautsch, CTO von Joblift, über ihre Erfahrungen beim Schreiben einer Doktorarbeit in Informatik. Claire ist Elton's und Dodo's alte Chefin, deswegen freuen sich die beiden ganz besonders über das Interview. Claire gibt Einblicke in die Wahl ihres Themas, die Herausforderungen während der Promotion und die Frage, ob sich der Aufwand finanziell und beruflich in der IT-Branche lohnt. Außerdem diskutieren wir, wie ihre Promotion ihre Karriere beeinflusst hat und ob sie diese Erfahrung wiederholen würde. Claire bringt nicht nur einen Doktortitel in Informatik und einen Master in Mathematik mit, sondern auch jahrelange Erfahrung im Engineering Management. Sie erzählt uns, wie sie den Spagat zwischen „People Arbeit“ und fachlichen Aufgaben meistert und mehr über ihre Elternzeit und ihren Weg zurück in die IT. Für alle, die eine Promotion in Erwägung ziehen oder gerade mittendrin stecken, bietet Claire praxisnahe Ratschläge und persönliche Einblicke. Hört rein! CLAIRE Claire Fautsch stammt aus Luxemburg und hat einen Master in Mathematik sowie einen Doktortitel in Informatik von der Université de Neuchâtel (Schweiz). Ihre Karriere begann sie im Consulting bei Accenture, bevor sie als Java-Entwicklerin und Teamleiterin bei Goodgame Studios tätig war, wo sie das Java-Team für Data Warehousing leitete. Seit sieben Jahren arbeitet Claire bei Joblift, wo sie zunächst als Entwicklerin begann und dann zum Engineering Manager und Head of Engineering aufstieg. Seit August 2024 ist sie als CTO tätig. In ihrer Freizeit verbringt Claire Zeit mit ihrer Familie, treibt gerne Sport und programmiert aus Spaß, um Dinge auszuprobieren und sich in neue Themen zu stürzen. (00:00) Intro (04:52) Claires Lebenslauf (09:38) Engineering Management (22:32) Was bringt die Doktorarbeit (38:35) Hat es Spaß gemacht? (44:32) Doktormutter/vater finden (48:00) Elternzeit

I recently had the pleasure of interviewing Neil Carson, CEO of Yellowbrick Data on The Ravit Show at their Mountain View office. Our conversation covered some fascinating insights about the company and its vision for the future of data warehousing. What did we cover in the interview -- - I kicked off by asking Neil to introduce himself and share a bit about Yellowbrick. His passion for driving innovation in the data space was evident as he explained how Yellowbrick is redefining the data warehouse landscape with their unique approach. - One of the key questions I had was why the world needs another data warehouse vendor. Neil highlighted the significant challenges that Yellowbrick is addressing, particularly with their Private Data Cloud. He emphasized the increasing need for secure, efficient, and scalable data solutions in a world where data volumes are growing exponentially. - We also discussed the importance of Kubernetes to Yellowbrick's architectural vision. Neil elaborated on how Kubernetes enables their platform to be multi-cloud and hybrid, supporting open platforms and providing unparalleled flexibility and scalability. This approach allows businesses to deploy and manage their data infrastructure seamlessly across different environments. Finally, I was curious about how a smaller startup like Yellowbrick competes with giants like Redshift, Snowflake, and Google. Neil's response was inspiring. He spoke about the agility, innovation, and customer-centric focus that drives Yellowbrick to deliver exceptional performance and value, setting them apart in a competitive market. It was a truly enlightening conversation, and I'm excited to see how Yellowbrick continues to innovate and lead in the data warehousing space. Learn more about Yellowbrick Data here — https://yellowbrick.com/ #data #ai #datawarehouse #yellowbrick #theravitshow

How has the cloud transformed the way we work with data? While at Build in Seattle, Richard sat down with Arun Ulag, Microsoft CVP of Azure Data, to discuss how the cloud has transformed how we work with data. The pre-cloud practice of extract-transform-and-load into OLAP cubes has given way to the data lake - you don't need to pre-process data if you have all the compute you need on demand. Arun goes further into empowering analysts using tools like PowerBI - but the key is access to data. With Microsoft Fabric, data lives in OneLake - or anywhere through links! Today, the data analytics landscape spans different product stacks and clouds - but all are available to learn more about your business!Links:PowerBIPivot Tables in ExcelOne LakeApache IcebergSnowflakeDatabricksRecorded May 22, 2024

AI is creating an impact on privacy, security, and jobs. And this is what we discussed with our guest Jan Anisimowicz and host Punit Bhatia in this episode. We explore how technologies like ChatGPT have revolutionized data privacy practices, telling both opportunities and challenges. Analyzing the major risks AI poses to information security and the ethical concerns that arise in the wake of AI-powered systems.   KEY CONVERSATION POINT  00:02:48 How has AI transformed privacy practices? 00:04:00 How is AI evolution crucial to handling volumes of data?  00:04:43 What are the major AI risks?  00:06:23 Would this create ethical concerns?   00:07:53 Is the algorithm biased?   00:11:28 What is the current state of AI regulations?   00:11:28 Are they also revolutionizing cyber security? How is it working?  00:14:38 Is there consent for data usage? What are the potential solutions to ensure transparency when it comes to data processing?  00:18:00 Is there a risk that Al would take all the jobs of the people around the world?  00:20:11 Can ChatGPT substitute auditors?    ABOUT THE GUEST  Jan Anisimowicz, experienced senior IT Executive with an impressive career spanning over 23 years. Jan's expertise encompasses a wide spectrum, including Governance, Risk and Compliance (GRC), Data Warehousing, Business Intelligence, and Data Analysis. Throughout his professional journey, he has contributed significantly to the telecommunication, banking, pharmaceutical, and insurance sectors, leveraging his comprehensive business and technical acumen. He is particularly skilled in orchestrating the creation and development of IT products and services tailored to suit specific business needs. His philosophy is centered around a pragmatic end-to-end product lifecycle that seamlessly integrates various aspects such as technical design, marketing, digital campaigning, sales, solution delivery, and maintenance. He is a proponent of lean, cost-effective approaches toward implementing regulatory requirements within organizations. His work also extends to the analytical evaluation and validation of the role of Artificial Intelligence (AI) in assisting auditors, particularly within Big Data and cloud IT landscapes. He is a firm believer in the potential of blockchain technology, particularly its capabilities with Smart Contracts concerning data privacy principles. Furthermore, He is an ardent supporter of Quantum Computing and AI, including LLM models supporting solutions akin to ChatGPT. His professional certifications include CISM and CRISC from ISACA, PMP from PMI, and membership with the Institute of Internal Auditors (IIA). Additionally, He is an ESG Approved Officer, a credential awarded by the Institute of Compliance.  ABOUT THE HOST  Punit Bhatia is one of the leading privacy experts who works independently and has worked with professionals in over 30 countries. Punit works with business and privacy leaders to create an organization culture with high privacy awareness and compliance as a business priority. Selectively, Punit is open to mentor and coach privacy professionals.  Punit is the author of books “Be Ready for GDPR'' which was rated as the best GDPR Book, “AI & Privacy – How to Find Balance”, “Intro To GDPR”, and “Be an Effective DPO”. Punit is a global speaker who has spoken at over 30 global events. Punit is the creator and host of the FIT4PRIVACY Podcast. This podcast has been featured amongst top GDPR and privacy podcasts.  As a person, Punit is an avid thinker and believes in thinking, believing, and acting in line with one's value to have joy in life. He has developed the philosophy named ‘ABC for joy of life' which passionately shares. Punit is based out of Belgium, the heart of Europe.   RESOURCES: Websites: www.fit4privacy.com , www.punitbhatia.com  Podcast: www.fit4privacy.com/podcast  Blog: www.fit4privacy.com  YouTube: youtube.com/fit4privacy   --- Send in a voice message: https://podcasters.spotify.com/pod/show/fit4privacy/message

Sean Falconer (@seanfalconer, Head of Dev Relations @SkyflowAPI, Host @software_daily) talks about security and privacy of LLMs and how to prevent PII (personally identifiable information) from leaking outSHOW: 807CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"SHOW SPONSORS:Want to win a Tesla Cybertruck or $100,000? Enter the WS02 Choreo Code Challenge (before August 30th)WSO2 Choreo - Why build a platform? Just add developers insteadCloudZero provides immediate and ongoing savings with 100% visibility into your total cloud spendSHOW NOTES:SkyFlow (homepage)Partially Redacted PodcastSoftware Engineering DailyTopic 1 - Our topic for today is the security and privacy LLMs. What's Sean's origin story?Topic 2 - Let's dig into LLM security and privacy. We see this concern a lot on the podcast and we've touched on it with various past shows, but we haven't dug in deep. First, let's frame the problem. What are we talking about when we talk about LLM security and privacy?Topic 3 - First, there is a fear that customer PII information might leak out. Second, company IP or confidential into might leak out related to products or offerings. We've seen examples of both to date. This could be exposed in the form of integration into a model (query it for the answer) or in the fine-tuning or RAG stage. Either one could lead to compliance issues, lost rev etc. But, that same data at risk is the potential differentiation of the models. How do you both mask the data but take advantage of the data?Topic 4 - One thing I've noticed is many orgs only think about privacy in relation to the fine-tuning stage where they are taking a broad model and making it company specific. It is about much more than that though. Just like standard software development, we have different stages. How is the data collected and stored, how is it used for training and fine-tuning, how is it used after deployment and during interaction stage, etc. How should security and privacy be handled across all phases?Topic 5 - Let's talk beyond LLMs for a bit. What about Data Lakes and Data Warehousing? I see this as a problem across all big data, correct?Topic 6 - How does API security fit into this? Much of what we are talking about is at the storage and retrieval level. But, increasingly we see API issues exposing data. How does that fit in here?Topic 7 - Let's talk podcasts, we had Jeff, the previous host of Software Engineering Daily on a few times. How are things over at Software Engineering Daily? Tell everyone a bit about the show.FEEDBACK?Email: show at the cloudcast dot netTwitter: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpodThe I.T. Career Podcast Your ultimate guide to success in the I.T. industry. Helping you Grow your career!Listen on: Apple Podcasts Spotify

“We love working with credit unions to become more data-driven, so they can better support their members.” - Andrea BrownThank you for tuning in to The CUInsight Network, with your host, Lauren Culp, President & CEO of CUInsight. In The CUInsight Network, we take a deeper dive with the thought leaders who support the credit union community. We discuss issues and challenges facing credit unions and identify best practices to learn and grow together.My guest on today's show is Andrea Brown, SVP of Growth at Lodestar. Andrea is a return guest to the podcast and shares what has changed since last year and what remains a common focus for leaders. Lodestar is a data warehouse and analytics partner for credit unions. They provide a full-service analytics platform of data connectors, visuals, workflows, and strategic guidance to help credit unions move forward in their analytics journey. During our conversation, Andrea discusses which data strategies credit unions should be focusing on to benefit business goals. She explains how leveraging data analytics and choosing the right data warehouse is crucial for a successful core conversion. Listen as Andrea talks about growth plans for the future and continuing to support credit unions with the complex technology systems needed to embrace efficiency and sustainability.As we wrap up the episode, Andrea talks about spending time with her family, splurging on new experiences, and preferring the audiobook of this recent read. Enjoy my conversation with Andrea Brown!Find the full show notes on cuinsight.com.Connect with Andrea:Andrea Brown, SVP of Growth at Lodestarandrea.brown@lodestartech.calodestartech.caAndrea: LinkedInLodestar: LinkedIn

Meagan Knoll and Tom McGinnis, long-time collaborators and educators rejoin me to dive into what it takes for employers and universities to succeed with the SAP University Alliances program. Although employers may find it daunting, Meagan and Tom share valuable tips on how employers can engage with universities and students alike to develop a qualified talent pipeline. Meagan Knoll has been a member of Grand Valley State University Faculty for the past 16 years. In addition to her longstanding dedication to academia, Meagan has achieved a new milestone as the Vice Chair of the SAP North America Academic Community Board and as the Co-Chair of the Partnership Committee. Meagan's commitment to student success extends beyond the classroom. She takes great pride in her extracurricular role as the advisor of the university's SAP student group, a community that serves as a crucial bridge connecting students to professionals within the SAP ecosystem. Outside of GVSU, Meagan remains deeply involved with the ASUG Michigan Chapter, where she currently holds a position on the Senior Leadership Team (SLT).   Thomas McGinnis has industry experience as a Software Developer, Business Analyst, System Administrator ERP Consultant and Project Manager. Tom also has 20 years of experience in academia.  He has a Master of Science and a Ph.D. in the field of Business Information Systems; he is an SAP-certified Associate Consultant and TERP10 academy instructor.  Tom has developed and taught courses in Enterprise Resource Planning (using SAP), Business Intelligence and Data Warehousing.  He is active in his local ASUG Chapter; frequently presenting new and developing aspects of Business Intelligence at chapter meetings.   Tom's research work has appeared in peer reviewed journals, in book chapters and numerous conference proceedings.  Connect with Us: LinkedIn: Meagan Knoll Mustansir Saifuddin Innovative Solution Partners  X: @Mmsaifuddin Innovative Solution Partners YouTube or learn more about our sponsor Innovative Solution Partners to schedule a free consultation.    Episode Transcript [00:00:00.890] - Mustansir Saifuddin Welcome to TechDriven business brought to you by Innovative Solution Partners. Meagan Knoll and Tom McGinnis, long-time collaborators and educators, rejoin me to share how SAP University Alliances is impacting the IT industry talent pipeline. Listen in as we uncover the value of UA programs, how employers leaders can connect with universities and the key takeaways for fostering successful partnerships in the ever-evolving tech landscape. All right, So let's start with the very basics.   [00:00:46.430] - Mustansir Saifuddin When we talk about University Alliance, what is the real value of the UA program in building a talent pipeline overall from an IT industry perspective?   [00:01:00.900] - Meagan Knoll Well, let me get started with telling you some of the unique opportunities that the University Alliances offers, and I think that will really segue into some of the value that comes from it. So the University Alliances has a lot of different initiatives behind the scenes. They offer training and workshops to faculty so that we're always on the cusp of new technology and emerging technology. They allow us to have hands-on access to SAP systems so that our students can explore and learn really the basics and the extended knowledge of being within the SAP system. They offer a lot of curriculum resources. How can we impart this knowledge onto the students in a very hands-on way? And a curriculum that is pretty standardized across the University alliances, so we can pool our talents to troubleshoot and provide these really in-depth curriculum opportunities. Then one of the best, I think, when it comes to connecting SAP employees or SAP users, is it helps faculty and students collaborate with those experts. For new emerging technologies or maybe a specific line of business, they really help make that connection so that we're talking to the right people and having the students learn the right content.   [00:02:29.740] - Meagan Knoll Then they offer certifications and badges, which is really great for the students to not only leave with a degree from a university, but with a SAP certification There's many different ones that can be taken, but a value at the student level is that that certification has tangible learning objectives that they can take from their degree at the university and then apply them to those certificates and badges.   [00:03:07.990] - Mustansir Saifuddin That sounds incredibly awesome. I hear a few things when you talk about this at length. One is that not only the students are getting benefit, but even the teaching staff has got that breadth of knowledge by going through this program.   [00:03:28.760] - Mustansir Saifuddin Tom, from where you said, what do you see the value?   [00:03:32.500] - Mustansir Saifuddin What is that comes to you when you talk about UA program?   [00:03:36.870] - Tom McGinnis It's the continuation of exactly that. With the students and the faculty getting together, it provides a great deal of value for the employer that's going to be hiring those students. You have students who are arriving on site on day one that have a process understanding. They understand, if you will, the of SAP. They know what master data is. They know what the org structure of the organization could be. They understand the transactions. That fundamental knowledge of all those pieces really adds a great deal of value. Usually In the UA, a majority of the schools are worried about the make-buy-sell process. The value is not that the new hire has the company's specific business processes in mind, but But they know how to translate what they got out of the UA program into the organization and translate that into reporting, data sourcing, data-driven decisions. It really lets them hit the ground running, and the businesses can get a great deal out of that. At the same time, the students get a great deal out of that as well because they understand the value of what this means to business. Normally, speak to students about what's important, and they accept that.   [00:05:04.310] - Tom McGinnis When they see the University Alliance and how it partners with business, they now get a real value for that, and they're no longer passive in their education. We see students really jumping on board and augmenting skills more and more. So it improves both the business side as well as the student side. It's really fun to watch.   [00:05:25.790] - Mustansir Saifuddin For sure. I think I can totally relate to it. I mean, you would Your choice of words, especially when you talk about translating, translation, it is so much important. When you talk about a business, there are certain parameters they run and they use certain terminologies, technologies, and then everything is coming together to make up a business environment. And a student who is exposed to it very early on, they now are able to simulate in the new system because it's just natural to them now. That takes me to my next question, which is, look from an employer's perspective. Where can employers find a university they can connect with who has got the UA program?   [00:06:15.890] - Meagan Knoll The University Alliances, of the schools that participate in the program who offer some SAP courses, they always have one point person that's called the Faculty Coordinator. This point person is a great go-to as a person to learn about what offerings they have, if they have any student groups, if they have any needs or things that they want to connect over. There's also some great advisory board opportunities. A lot of local universities who offer the SAP program have advisory boards where different companies can sit on those advisory boards and help direct the curriculum choices. There's a really good touch point, which is Career Services. Contacting a local university's Career Services to see if they have an SAP program, if they have a University Alliances program, and getting your foot in the door with Career Services can then open not only the doors to the courses that were offered and the student body that makes up those courses, but also ways to really get engaged when it comes to maybe taking the students on for internships or taking the students on for an entry-level career.   [00:07:42.330] - Mustansir Saifuddin Wow. There are so many different aspects and avenues for employers to interact with a university that has got the program going, right? Now, looking from a different angle, what do you expect from prospective employers? What is that you guys want or the students are looking for?   [00:08:05.550] - Tom McGinnis There's a couple of things. Part of it is being active or participating with the faculty and the students. It also brings together the folks to talk about what the requirements are and expectations. I know Megan and I have worked with a lot of students in bringing companies into the student group to just talk hiring practices, talk about what's the average day in the office. That opens up their eyes. It also gets the employers in to help assess the program, if you will, because Not all programs are made equal. Some schools will have larger programs than others. Sometimes a school will have dedicated SAP coursework, meaning a full 15-week course dealing with business processes. Activities, dealing with configuration, dealing with warehouse management or building a data warehouse. And along with that, there might be snippets in other courses. So the accounting course may have a two-week discussion around SAP and what accounting looks like. A supply chain course might touch upon procurement just for a few weeks in the semester. There are different ways of teaching the classes, and employers can come in and take a look at that and see what they're looking for. Students see the employers coming in and get an understanding of what the employers are looking for, and everyone starts to dial in on what they like.   [00:09:43.650] - Tom McGinnis In some of the programs I've taught in, a majority of the students taking the courses, SAP courses, are not MIS students. They're not technology people. They're business process people because they see that the employers value that business process understanding. It's really fun to watch that eke out. Then faculty, of course, get involved because they want their courses to be relevant to employers. It's a self-fulfilling prophecy where everyone's feeding off each other's energy to ramp up the programs. It's really exciting to see that happen.   [00:10:23.260] - Mustansir Saifuddin Now, that's interesting. I think one point that I really got out of this is as an employer ourselves, at Innovative Solution Partners, basically what I'm hearing is you want us to be there, interact with the program and students, and get to know what is being taught. And this is one way of Getting the value out of the program because each program has got its own merit in terms of what has been taught in the program. And each school has a different curriculum. So this way an employer has an opportunity to get to know what they will be dealing with or what they will be getting in terms of the talent that they're looking for.   [00:11:09.540] - Meagan Knoll To speak to that point, let me give you some examples of some opportunities that have taken place at a lot of University Alliances schools. There's something called the NextGen Labs. Nextgen Labs are a space within the university where they can do hands-on projects for or a community partner. If your business has a small project that maybe you don't have the bandwidth to take on and it involves SAP in some way, you could turn it over to a course at a university, and the students could work on solving that problem for you or making that report that you need. That's one great way to preview the talent because those students that are on that next-gen project who are going to be meeting with you and talking about it and presenting it gives you a great insight into what type of employee those students might become. Another one that is pretty popular is code jams. A great way to connect with the students and see the students in action would be to participate in a code jam. A lot of SAP organizations or user groups groups, they have code jams put on by SAP. Students can attend those as much as the employees at the different businesses can attend.   [00:12:39.710] - Meagan Knoll And having that mix between students and professionals is a great way to see that blossoming talent and really connect with them before you hire them on.   [00:12:53.380] - Mustansir Saifuddin That's very interesting. So I know I'm familiar with code jam for sure. This next Gen program that you mentioned, it seems very interesting also. It seems like there are multiple ways a prospective employer can connect and interact and get a first-hand look at the talent that they're dealing with or they will we're going to be approaching in the future. So this is really good news.   [00:13:18.880] - Mustansir Saifuddin Now, let's take a different approach.   [00:13:24.130] - Mustansir Saifuddin I know you are being an educator, you're dealing with students day in, day out. How How are you preparing these young people to be productive from the get-go?   [00:13:35.620] - Meagan Knoll I think it takes more than just an individual faculty member. It's really, most of these SAP University Alliances programs are housed in a larger college, like the College of Business. It takes that whole roundabout knowledge of the tactical things, the systems thinking, the hands-on, education, all the different insights that come from career services and come from extracurriculars, even leadership type roles that students might have on campus. It really takes a large ecosphere at the university level to really prepare the students to go forth. And the UA gives a really great mix that universities can already add on to their great programs, but it just gives that little bit of extra edge.   [00:14:29.920] - Mustansir Saifuddin Yeah, that makes sense, because especially when you think about these programs, I know it feels like sometimes when you think about these programs, you are looking at one part of it, but it's an overall scheme of things It makes sense to have it as the way it's set up, like you mentioned.   [00:14:49.740] - Mustansir Saifuddin Tom, you have any other points that you want to share about this, especially when you're preparing young folks?   [00:14:57.940] - Tom McGinnis Part of it is there's There's a couple of aspects to it. It's more from the employer side of things is when you're looking at programs, as I said before, they're not all the same. Oftentimes, I see companies struggle with how to participate, how to put their foot in in those cases. Megan has mentioned career services and all those opportunities, but part of it is assessing the schools that you partner with. Most organizations already have a set list of schools that they recruit from. It could be just as simple as going out and looking to see if one of their current schools is on that list. Sap, www. Sap. Com, they have a list of UA schools. If you have a list of 10, 15 local schools that you recruit from, it's worth checking to see whether those schools are there on that list. Then you just take a look at their program. How many students do they have? What's the mix of majors? How involved are the faculty? What courses are involved in that? Lastly, as Megan said, the certifications. You're looking at that holistically and bringing that all together, and that's where you get some of those unique views.   [00:16:19.160] - Tom McGinnis The faculty oftentimes go along for the ride because they see the interest in those programs. It's a great way of getting that synergy involved. I think that's the thing I want to stress. It's the combination of faculty organizations and the students. That's what really brings this home as a value prop for everyone involved.   [00:16:44.870] - Mustansir Saifuddin For sure. I think this subject is such a vast subject, and we can keep on going, but we do have a time limitation. I'll try to wrap this up. Just looking at all the discussions we had so far and what we covered, what is the one key takeaway that you want our listeners to go with?   [00:17:10.720] - Meagan Knoll In preparing and talking and getting this topic on the top of our minds, the one takeaway that really stood out to us is that old adage of, You reap what you sow. So the more involved that you are in that synergy of students and faculty and organizations the more that your connection and your internship possibilities, your young career possibilities will flourish.   [00:17:39.870] - Tom McGinnis There's opportunities out there for companies to harvest these diamonds in the rough, we call it. Fantastic performers that are sitting there in school not quite knowing what they want to do yet, who are going to really flourish in the right environment. It's just getting those folks together and seeing the value on on all their sides. And oftentimes, I see organizations not taking advantage of this because they have some self-imposed barrier to entry in this recruiting scheme. And there's nothing there. It's a simple call to Career Services to find out who on campus could I talk to and going from there. Or it's leveraging your current grads and whatever alumni associations you have in your company, using them to go out and recruit on campus. So there's a lot of low-hanging fruit that's there for people to take advantage of. Yeah, and I think I would like to sum it up with this is almost like a matchmaking   [00:18:45.870] - Mustansir Saifuddin You have the right set of talent on both sides, right?   [00:18:51.530] - Mustansir Saifuddin In our business, looking for individuals or teams that they want to bring into their fold. And the university is looking at placing these young individuals into a system where they can flourish and they can get a sense of what they are getting into. And it seems like the UA program allows them to do both of it in a way that interaction starts so much earlier than any other program where you are doing the book study versus not having that real-life exposure. I really appreciate you guys coming together and sharing your thoughts on this.   [00:19:38.430] - Mustansir Saifuddin Thanks for listening to Tech Driven Business brought to you by Innovative Solution Partners. Meagan and Tom shared valuable insights on how IT firms can leverage the University Alliance program. Their main takeaway, the more involved that you are in that synergy of students, faculty, and organizations, the more impact the program will have. There is a lot of low hanging fruit that's there for people to take advantage of. We would love to hear from you. Continue the conversation by connecting with me on LinkedIn or Twitter. Learn more about Innovative Solution Partners and schedule a free consultation by visiting isolutionpartners.com. Never miss our podcast by subscribing to our YouTube channel. Information is in the show notes.

In this next series of episodes, Megan Knoll and Tom McGinnis, long-time collaborators and educators join me to talk about how companies can leverage the SAP University Alliances to build their talent pipeline. In this first episode, we'll start with an overview of how the program is helping shape a skilled workforce and benefiting students, educational institutions, industry partners, and SAP.  Meagan Knoll has been a member of Grand Valley State University Faculty for the past 16 years. In addition to her longstanding dedication to academia, Meagan has achieved a new milestone as the Vice Chair of the SAP North America Academic Community Board and as the Co-Chair of the Partnership Committee. Meagan's commitment to student success extends beyond the classroom. She takes great pride in her extracurricular role as the advisor of the university's SAP student group, a community that serves as a crucial bridge connecting students to professionals within the SAP ecosystem. Outside of GVSU, Meagan remains deeply involved with the ASUG Michigan Chapter, where she currently holds a position on the Senior Leadership Team (SLT).   Thomas McGinnis has industry experience as a Software Developer, Business Analyst, System Administrator ERP Consultant and Project Manager. Tom also has 20 years of experience in academia.  He has a Master of Science and a Ph.D. in the field of Business Information Systems; he is an SAP-certified Associate Consultant and TERP10 academy instructor.  Tom has developed and taught courses in Enterprise Resource Planning (using SAP), Business Intelligence and Data Warehousing.  He is active in his local ASUG Chapter; frequently presenting new and developing aspects of Business Intelligence at chapter meetings.   Tom's research work has appeared in peer reviewed journals, in book chapters and numerous conference proceedings.  Connect with Us: LinkedIn: Meagan Knoll Mustansir Saifuddin Innovative Solution Partners  X: @Mmsaifuddin @ISolPartners,  YouTube or learn more about our sponsor Innovative Solution Partners to schedule a free consultation.    Episode Transcript [00:00:00.000] - Mustansir Saifuddin Welcome.   [00:00:03.310] - Mustansir Saifuddin To Tech-Driven Business brought to you by Innovative Solution Partners. Megan Knoll and Tom McGinnis, long-time collaborators and educators, joined me to share how the University Alliance Program is helping shape our skilled workforce and benefiting students, educational institutions, industry partners, and SAP. It's all about building a valuable talent pipeline.   [00:00:28.810] - Mustansir Saifuddin So how are you guys?   [00:00:38.400] - Meagan Knoll Well.   [00:00:39.200] - Tom McGinnis Thank you. Very well, thanks.   [00:00:41.830] - Mustansir Saifuddin So I know the topic from today's session is building your talent pipeline. And I know it's a wild subject, but I try to keep it to a few points that make sense in terms of how our listeners interact with our podcast. So if you guys are ready, we can get into our questions.   [00:01:05.990] - Meagan Knoll Sounds great.   [00:01:06.500] - Tom McGinnis Let's get started. Let's go.   [00:01:08.420] - Mustansir Saifuddin All right. So I know talent pipeline, big word, a lot of different things that goes along with it, but let's focus on a couple of things. Can you describe the University Alliance as it applies to SAP and the SAP customers and partners ecosystem? Absolutely.   [00:01:31.680] - Meagan Knoll The University Alliance is a program that was initiated by SAP, and the whole idea was to foster collaboration between educational institutions like the universities and trade schools, SAP itself, and then SAP customers and partners. What we like to think of for the University of Alliances is that it is a conduit for knowledge transfer that will help prepare students to become skilled professionals in the SAP area. It's a global initiative that has over 3,500 educational institutions, and that spans over 113 countries.   [00:02:18.810] - Tom McGinnis From a customer perspective, it gives an avenue. It allows companies to work with their local schools, because often times universities are struggling with what content to provide that's meaningful to the local community when it comes to job skills and with systems work. Companies can help identify what those requirements are and the skills that they value and help set those realistic goals for the graduates. And from a school's perspective, it's the target market that they're working with. So the whole idea of having this conduit back and forth allows both sides to get what they need out of the relationship. Collaterally then, everyone gets other benefits outside of the University Alliance, a variety of different ways that we'll probably end up talking about in a few minutes.   [00:03:12.440] - Meagan Knoll One of the other points when it comes to the SAP University Alliances is that there's a lot of collaboration and making sure that students and partners can both participate in things like conferences, meetings, workshops, boot camps, certifications. It really helps to make sure that our students are skilled to the point they need to be to jump right into that talent pipeline.   [00:03:40.340] - Mustansir Saifuddin Now that's a great explanation about the University Alliance. Thank you. Let me ask you this, how long has been this University Alliance around in terms of your interaction, both of your experiences, goals?   [00:03:57.820] - Meagan Knoll I have been interacting with the University Alliance for about 17 years now.   [00:04:03.680] - Tom McGinnis And for me, close to 15 years.   [00:04:07.050] - Mustansir Saifuddin Wow, it's quite a long time. Okay. So that leads me into my next question. Especially, we're talking about talent. University Alliances, coming from a customer's perspective, what can SAP customers and partners expect from this program? Can you elaborate on that?   [00:04:25.830] - Tom McGinnis Yeah, everyone gets a little bit different benefits out of it. The major stakeholders, as you said, the business community, the academic community, and most importantly, from our perspective, the students. From a business perspective, their impact on the school, I don't think organizations appreciate how much impact they can have on their local schools because they're looking for guidance, they're looking for help when it comes to what to offer students. The partnerships that are forged with companies and the local universities provide a variety of benefits out of that. Companies also, from an internal standpoint, get visibility at school so that their own organizations can see opportunities for upskilling employees, working with researchers at universities, and that partnership really builds. From the school's perspective, it's almost like self-marketing. They're working with these organizations, and it's a front-facing thing, where now these companies have a face on campus, and that means a face in recruiting. That's a face for research, a face for value generation that helps the university move along. And of course, with students, it's the networking. Students struggle. They struggle hard with meeting companies and getting their foot in the door with these social networks, professional social networks.   [00:06:00.830] - Tom McGinnis The UA program is a shot in the arm for them for that. It helps them meet people that they want to interact with and start slowly gaining that understanding of what an organization does. Again, it leads to other peripheral things. There's a lot of internships that come out of the UA, and that allows companies to test drive students in a manner of speaking, but also the students get to test drive a company and see what organization they'd like to work with. Ua schools are a great place for organizations to get interns because they're ready to hit the ground running when they're done with their coursework. So there's a great variety of things that benefit all three parts of that group.   [00:06:49.850] - Mustansir Saifuddin Yeah. It's going to be very interesting term you mentioned that it seems like a mutually beneficial for all parties involved in terms of... Especially, I think one thing that I really liked about your observation is everybody gets a test drive, right? You get to know the employer versus the employers get to know the students and the university being in the middle trying to engage these different parties into a common platform, right? So, Meagan, from your perspective, how have you seen this work? What's your perspective on this?   [00:07:28.900] - Meagan Knoll From an education standpoint, I have seen the great collaboration that has come between industry partners, SAP Proper, and then also the universities in the University Alliances. There is a wealth of information that's provided by these companies when it comes to adapting new technologies, giving students hands-on opportunities to work with these new technologies, and it also helps to encourage and support faculty-led research. Not only are we looking for benefits to the students, but also benefits in making the research aspect of working and having that environment where we have that pipeline of students versus our students going to our employers, it all comes together as a nice symbiosis.   [00:08:26.720] - Mustansir Saifuddin Makes sense. No, definitely. Let's talk about from a different angle. Lessons learned when you're working with employers, how can they be successful?   [00:08:38.590] - Tom McGinnis Well, that's a good one.   [00:08:40.300] - Mustansir Saifuddin Yeah, for sure.   [00:08:42.340] - Tom McGinnis Well, it comes back a little bit to what we were saying just a bit ago about that front-facing aspect. One of the things that we've seen with our students, and part of it is the demographics of the student today, but if they don't know an organization, they tend not to go out of their way to recruit at that organization. They like whatever they know and they stick with it. Well, for companies that don't have an end consumer product, they're at a disadvantage. Those people who make intermediates, they make the product that goes into other products, our students don't know them, and the company is not on the radar during recruiting. With a program like UA, they're seeing how everything is made behind the scenes. A lot of UA schools also—and I do plant tours and things like that as part of the curriculum to get folks onto the shop floor, let's say, and see how SAP is really used there. Breaking down that barrier, if you will, or informing the students of who's out there, that's a big change in the opportunities for a company to recruit. And that's probably one of the biggest things I've seen come out of UA programs is the visibility of the company in front of the students has greatly increased compared to traditional courses.   [00:10:05.800] - Mustansir Saifuddin I think I really love that aspect of it. It seems like there is a conduit into how a student is starting from an education point of view, but then getting to real life earlier than they expect to. I mean, this engagement through the UA program allows them to experience way upfront, which makes it easier when they actually get into the real work-life, right? So it seems like a very powerful tool that allows them to be ahead of the competition. I mean, there's always companies looking for talent, but talent that comes with education upfront about themselves, about the organization where they're maybe potentially working in the future.   [00:10:58.270] - Meagan Knoll Absolutely. We have noticed that there not only is that reduced onboarding time because they have those skills and they're ready to hit the ground running, but there's also the opportunity to develop the talent. It's not uncommon for students who are part of the university alliances to intern at a company, then possibly work part-time at a company, and then become full-time hire as soon as they graduate. You can start to develop that talent in a specific way that meets your needs of your organization.   [00:11:33.790] - Mustansir Saifuddin Yeah, for sure. And that is the key point, right? How do we get that engagement going early on? So now taking a little deviation from our UA part of it, but on a personal level, you both have been an educator for quite some time. Taking it back to the University Alliance, what is the aha moment that you would experience over the past few years? And you can go, Tom, you can start and then Meagan, you can follow up with what are your experience is. I'd love to share that with our listeners.   [00:12:15.910] - Tom McGinnis Well, it's funny the way you said that, because for me right now, it's going through the list of aha, moments. There's not just one. There are a couple of them. There was one moment for a Midwest company. This is a company that was in Minneapolis. They had to change the way that they hired new hires and students because they brought on a student who was doing SAP work, coursework, as an intern his sophomore year in school. They liked him so much, they brought him in for another internship the following summer. When he graduated, of course, he applied for a position there and they gave him a position, but he had worked there so long already they couldn't hire him as a new hire. He was actually in a different salary bracket. When you have a student that's that valuable before they've even finished their coursework, that's a big aha moment on what a UA program does for the student's skills. The other big aha moment is when I take a look at the students in my classroom, and I'm MIS faculty, Management Information Systems, you would think the course I teach predominantly has MIS students in it.   [00:13:35.970] - Tom McGinnis But my biggest SAP classes, my MIS students are in the minority in the class. It's usually other disciplines, supply chain management, marketing, accounting. It shows, I think, the value that other disciplines place on SAP skills and what those organizations are then doing to the recruiting at our college. Yeah, there's a lot of aha, moments.   [00:14:01.580] - Meagan Knoll I think the biggest aha moment for me was a very rewarding experience. A couple of years ago at Sapphire, I was able to sit in on a session in which one of our former students was presenting as the subject matter expert. That was only three years after she had graduated from our program. Knowing that the roles were reversed and I was able to learn from her, just like she had learned from me in the classroom five years earlier, was a great aha moment and a great feeling that our program does make a difference and that we could really bolster up that talent pipeline and really have students who are ready to hit the ground running to make valuable impacts for any organization that they're hired at.   [00:14:49.470] - Mustansir Saifuddin Great example. Thank you for sharing that. I think one thing I would like to add to this is being an SAP professional for over 20 years and working with different industries and different customers, one thing is very clear to me, and that is the talent that comes out of the UA program. I mean, the example that you used, Meagan, about someone this early in the career getting on a stage, something like a Sapphire conference, a huge opportunity and a huge gathering of customers and partners and folks who are learning more about SAP. And this is a moment for a student that just came out of this program and getting into the workforce, be able to share what they've learned on this stage. I think that is great. And especially, Tom, your examples speaks for itself, right? I mean, you're looking at as an organization, customers looking for talent. But when the talent is that well developed early on and they are able to get into the organization, start running from the get go. I mean, that's what a lot of these companies are looking for. They want to have employees who are ready, who understand the culture, who can adapt to the applications, to the technologies that they're using.   [00:16:22.160] - Mustansir Saifuddin So it's a happy ending from both angles, right? So great examples. Thank you. Well, I know we talked about a bunch of things in our session, so that takes me to my last question. And this is one takeaway that I always like our listeners to have with them after every session. Based on all that we have covered so far, what is the one key takeaway that you would want our listeners to leave with?   [00:16:56.560] - Meagan Knoll I would say that the one key takeaway that I want listeners to leave with is an expanded knowledge that this program does exist. It may not be at your fingertips at this time, but just the knowledge of knowing that the University of Alliance is out there and is promoting and producing this talent, is something to maybe tuck into your back pocket and revisit at another time and really reach out to a UA school in your area.   [00:17:26.980] - Tom McGinnis To echo that, I think it's about engagement. A company needs to reach out in this day and age to find the resources it needs. The UA is a great place to reach out to, but you also want to reach out to your local schools. Even if they're not in the UA program yet, your interest in UA coursework may push them in that direction. And it's that interaction that I really want to see organizations do, is get out there with their local schools and start that conversation. The worst thing that could happen is that you don't find the resources that you want. The best thing that can happen is you find these diamonds in the rough that you can then use and use them to recruit even more diamonds in the rough. It's a self-fulfilling prophecy.   [00:18:21.530] - Mustansir Saifuddin No, great examples, and I think that's the key, right? I mean, you have the opportunity and you have the means to get to this great program that has been around. And how do we get the word out? So folks who are looking, folks who may be looking in the future, folks who never even heard about it, this is an opportunity for them to avail this, at least explore the options and see what is out there in terms of what UA can do for them. And we'll look forward to having you both on our next session, where we'll dig more into the details of the University ofAlliance program. So thank you.   [00:19:02.180] - Tom McGinnis Thank you. Thanks for having us.   [00:19:09.410] - Mustansir Saifuddin Thanks for listening to Tech-driven Business brought to you by Innovative Solution Partners. Meagan and Tom shared valuable insights on how partners can come together in building a talent pipeline. Their main takeaway? Know that the University Alliance is out there and reach out to your UA school in your area. It's all about engagement and finding these diamonds in the rough that can help build a talent pipeline. We would love to hear from you. Continue the conversation by connecting with me on LinkedIn or Twitter. Learn more about Innovative Solution Partners and schedule a free consultation by visiting isolutionpartners.Com. Never miss our podcast by subscribing to our YouTube channel. Information is in the show notes.

Mark Cusack from Yellowbrick joins us to talk about all things database and data warehouse on Kubernetes. Yellowbrick is a data warehousing solution that runs 100% on Kubernetes. Mark details the company's history, the transition from hardware to a software-only model, and the adoption of Kubernetes to improve scalability and flexibility. He addresses misconceptions about... Read more »

Mark Cusack from Yellowbrick joins us to talk about all things database and data warehouse on Kubernetes. Yellowbrick is a data warehousing solution that runs 100% on Kubernetes. Mark details the company's history, the transition from hardware to a software-only model, and the adoption of Kubernetes to improve scalability and flexibility. He addresses misconceptions about... Read more »

Mark Cusack from Yellowbrick joins us to talk about all things database and data warehouse on Kubernetes. Yellowbrick is a data warehousing solution that runs 100% on Kubernetes. Mark details the company's history, the transition from hardware to a software-only model, and the adoption of Kubernetes to improve scalability and flexibility. He addresses misconceptions about... Read more »

Access quality data, wherever it resides, with Microsoft Fabric, our next generation managed data and analytics service. Make data accessible across your entire data estate, without having to integrate different sources or work across multiple toolsets. Check out new data mirroring capabilities and AI-powered Copilot experiences, from building data pipelines, to creating predictive models and generating Power BI reports. Microsoft Fabric is a single, fully managed service, that helps you derive quality data from raw fragmented data by using built-in capabilities for data integration, data engineering and data warehousing, as well as for building data science models, real-time analytics, business intelligence, and real-time monitoring and alerts to trigger actions when your data changes. Nellie Gustafsson, Microsoft Fabric's Principal Product Manager, joins Jeremy Chapman to share all the updates.   ► QUICK LINKS: 00:00 - Access quality data across your entire data estate 01:00 - Single, fully managed service 03:18 - Data mirroring 05:29 - Cross-join and query data06:48 - Copilot in Microsoft Fabric 08:06 - Build a machine learning model for predictive insights 09:47 - Use Copilot to generate Power BI reports 11:09 - Wrap up   ► Link References Get information, resources, and sign up for a free trial at https://aka.ms/fabric    ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

The modern data stack is a collection of cloud-based tools and technologies used to collect, store, process, and analyze data in a scalable way. It is a departure from traditional data stacks, which were often based on on-premises infrastructure and were not as well-suited for handling large volumes of data or complex data pipelines. But with this new approach comes complexity, and organizations must determine if the value outweighs the cost. Another, newer route has emerged for companies interested in serious analytical power: Hyperscale! This new architecture leverages an array of technical advances, including compute-adjacent storage, simplified data pipelines that make data available to more users, built-in integrations for a whole host of data sources, and machine learning algorithms baked into the architecture. Learn more on this episode of DM Radio as Host @eric_kavanagh interviews Chris Gladwin, CEO of Ocient, and Hyoun Park of Amalgam Insights.

Our host Jeff Ignacio sits down with Darrell Alfonso, the Director of Marketing Strategy and Operations at Indeed. They talk about what it means to be a good leader, including the importance of centralising resources and bringing teams together. They also discuss how best to consolidate reporting, touching on data warehousing and a single source of truth.

React fast to changes in data with an automated system of detection and action using Data Activator. Monitor and track changes at a granular level as they happen, instead of at an aggregate level, where important insights may be left in the detail and have already become a problem. As a domain expert, this provides a no code way to take data, whether real-time streaming from your IoT devices, or batch data collected from your business systems, and dynamically monitor patterns by establishing conditions. When these conditions are met, Data Activator automatically triggers specific actions, such as notifying dedicated teams or initiating system-level remediations.  Join Will Thompson, Group Product Manager for Data Activator, as he shares how to monitor granular high volume of operational data and translate it into specific actions. ► QUICK LINKS: 00:00 - Monitor and track operational data in real-time 00:53 - Demo: Logistics company use case 02:49 - Add a condition 04:04 - Test actions 04:36 - Batch data 06:21 - Trigger an automated workflow 07:12 - How it works 08:12 - Wrap up ► Link References Get started at https://aka.ms/dataActivatorPreview Check out the Data Activator announcement blog at https://aka.ms/dataActivatorBlog ► Unfamiliar with Microsoft Mechanics? As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics  

Episode 235 of the #MVPbuzzChat interview series. Conversation between Microsoft Regional Director and MVP Christian Buckley (@buckleyplanet), and Data Platform and Developer Technologies MVP, Olivier Van Steenlandt (@Oli_VSteenlandt), a Data Warehousing and Reporting Team Lead at X20 Badkamers, based in St-Niklaas, Belgium. You can also find this episode on the CollabTalk blog at https://www.buckleyplanet.com/2023/10/mvpbuzzchat-with-olivier-van-steenlandt.html

Christian Kleinerman is the SVP of Product @ Snowflake. Before Snowflake, Christian spent close to 5 years at Google as a Senior Director of Product Management @ YouTube working on their infrastructure and data systems. Before YouTube, Christian spent over 13 years at Microsoft serving as General Manager of the Data Warehousing product unit where he was responsible for a broad portfolio of products. In Today's Episode with Christian Kleinerman We Discuss: 1. Lessons from the Greats: How did Christian first make his way into the world of product? What are 1-2 of his biggest lessons from working with Satya Nadella and Frank Slootman? What are 1-2 of hs biggest product lessons from Google and Microsoft? 2. Generative AI: Real vs Fake: How does Christian analyze the current generative AI landscape? Which segments will be the fastest to adopt? Which will be the slowest? What aspects of the ecosystems are overblown? Which are under-appreciated? How does Christian respond to many VCs who suggest that many startups are simply wrappers on GPT? 3. Models 101: Why Size is Not Everything! What matters more, the size of the data or the size of the model? Will any of the models used today be used in a year? Does Christian believe Alex @ Nabla is right in saying that "the most successful companies will be those that are able to transition between models the easiest"? How are we seeing the evolution of model size impact the accuracy of result snad size of data required? 4. Incumbent vs startup & Open vs Closed: Who is best positioned to win; startups or incumbents? What are the nuances; which spaces are best served for startups to win vs incumbents? Will open or closed source be the dominant mode? What are the single biggest challenges preventing open from being successful?

Mark Rittman is joined in this final episode of the current series of Drill to Detail by returning guest Jordan Tigani, Co-Founder & CEO at Motherduck to talk about the journey from big data to small data and bringing hybrid cloud execution to DuckDB.Big Data is DeadTeach Your Duckdb To FlyAnnouncing Motherduck: Hybrid Execution Scales Duckdb From Your Laptop Into The CloudDrill to Detail Ep.64 ‘Google BigQuery, BI Engine and the Future of Data Warehousing' with Special Guest Jordan Tigani

What reports do you absolutely need?    Companies transitioning from a different system into BC/NAV have built many impressive reports with Excel already, but we all know maintaining them can be a bit tricky, not to mention it can bog down the system.    The magic is, you can build a single, comprehensive report within that data warehouse. This report will present you with a complete view of the data you need.    Learn more in this new episode of

What is Microsoft Fabric, and why do you want some? Richard talks to Andrew Snodgrass of Directions on Microsoft about Microsoft's recently announced Fabric product. Andrew explains that Fabric is an effort to integrate the various data products, including PowerBI, DataLake, Data Factory, and Data Warehousing, under a standard banner. It is early days for Fabric, but it's a great time to take it out for a spin for those who haven't dug into Azure data analytics products. But if you have existing implementations of PowerBI and many other data products, test carefully - the migration paths aren't simple!Links:Microsoft FabricAzure Synapse AnalyticsAzure Data FactoryPower BIFabric WorkspacesOneLakeKusto Query Language (KQL)Parquet Files in FabricMicrosoft PurviewOneLake File ExplorerRecorded July 12, 2023

As people in the data industry go, Bill Inmon is among the top, often seen as the godfather of the data warehouse. In this Data Engineering Show episode, Bill Inmon talks about surviving rabbit holes throughout the evolution of data, the data modeling renaissance, and why ChatGPT is not Textual ETL.

As people in the data industry go, Bill Inmon is among the top, often seen as the godfather of the data warehouse. In this Data Engineering Show episode, Bill Inmon talks about surviving rabbit holes throughout the evolution of data, the data modeling renaissance, and why ChatGPT is not Textual ETL.

Effective leadership in the fast-paced and dynamic world of technology requires a strategic and adaptable approach. One powerful tool that can significantly enhance leadership skills for a tech leader is a well-defined methodology. By employing a structured and systematic approach to decision-making, problem-solving, and team management, tech leaders can navigate complex challenges with confidence and efficiency. A prime example of how methodology can propel a tech professional's career to great heights is Trevor Wood's remarkable journey at CIBC FirstCaribbean International Bank. Starting as an intern, Trevor demonstrated a keen understanding of the importance of methodical thinking in technology projects. Through continuous learning and application of best practices, he ascended through the ranks and now holds the prestigious position of Director - Data, Wealth & Corporate Centre Technology. Trevor's success story underscores the transformative potential of methodology in shaping a tech leader's career trajectory and impact within their organization.Here's more about Trevor WoodSpecialties: Data Science, Analytics, Data Warehousing, Business Intelligence, Reporting, ETL Development, Database Development, IT Governance, IT Architecture, IT Systems Design, Service Oriented Architecture, Master Data Management, Data Governance, Agile Methodologies.http://www.cibcfcib.com/

Hightouch co-Founder and co-CEO Tejas Manohar returns as special guest to talk with Mark Rittman about the reverse ETL market today, the evolution of the composable customer data platform and new featured in Hightouch to enrich customer profiles and drive personalization across marketing campaigns.Reverse ETL is Dead (Ethan Aaron LinkedIn Post)Customer 360 Data Warehousing and Sync to HubspotYou don't need the Modern Data Stack to get sh*t doneHightouch Customer StudioHightouch Personalization APIHightouch Match BoosterWhat's in Store for Data Teams in 2023?

Work with your data in place, wherever it resides, with Microsoft Fabric, our next generation data analytics service powered by one of the first true multi-cloud data lakes, called OneLake. Go from raw data to meaningful insights over data spread across your organization and in other clouds in seconds—without moving it. Microsoft Fabric provides a single integrated service that includes data integration capabilities, data engineering for shaping your data, data warehousing, the ability to build data science models, real time analytics, and business intelligence. Data from these different experiences is brought together by one unified data lake for your organization, OneLake, and is accessible regardless of the engine used.  Justyna Lucznik, Principal Group PM for Microsoft Fabric, joins Jeremy Chapman to share how to make your organizational data more accessible. ► QUICK LINKS: 00:00 - Introduction 01:47 - Unified data in OneLake 03:05 - Personalized experiences for data professionals 04:43 - How to get started with Microsoft Fabric 06:06 - Shortcuts capability in OneLake 07:35 - Native Windows Explorer integration 09:15 - Collaboration and shared work space 10:04 - LLMs and Copilot for model creation 11:33 - SQL Analyst experience 12:53 - Business user experience 14:06 - Wrap up ► Link References: Start your free trial at https://aka.ms/TryFabric Check out Microsoft Fabric at https://app.fabric.microsoft.com ► Unfamiliar with Microsoft Mechanics? As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics  

William McKnight, President at McKnight Consulting Group discusses the importance of data maturity in achieving digital transformation and the crucial role of data architects in helping organizations become data-driven.

Software and data architects know there's always a bottleneck somewhere: storage, compute, the OS; and in the era of cloud, the network presents new challenges. That's where a 'direct data accelerator' comes in handy: a high-speed interconnect that optimizes the path through all of these layers, and bypasses main memory to connect CPUs and storage directly. Register for this episode of DM Radio to hear Analyst Yves Mulkers explain why this novel architecture is revolutionizing the speed, cost and viability of data warehousing. He'll be joined by Yellowbrick CTO Mark Cusack who will detail the component parts of a cloud-native data warehouse, including the importance of storing data in columnar format.  

In this episode of the podcast, learn from the expertise of Thomas Martens, a Microsoft Data Platform MVP and Solution Architect at Munich Re. Join us as he explores the role of a Power BI Sherpa in driving a data culture and overcoming challenges in organizations. With 25 years of experience delivering Business Intelligence, Data Warehousing, and Analytics solutions, Tom shares his insights on using Power BI to tackle analytical challenges and apply analytical methods to small and large amounts of data. In this episode, Tom discusses the importance of Power BI in fostering a data culture, the challenges faced in large-scale analytics implementation, and his thoughts on the future of Power BI. Don't miss this opportunity to hear from a seasoned expert on the topic of Power BI and its impact on organizations. Thomas "Tom" Martens has been awarded as an MSFT Data Platform MVP and works as Solution Architect at Munich Re (www.munichre.com). Tom is a regular speaker at international conferences and user meetings. Tom is the co-author of the book "Pro DAX with Power BI." When he is not working, Tom enjoys cycling and taking pictures. He also loves to blog and is passionate about helping others level up in the Power Bi space. Tom is an expert when it comes to creating complex solutions and architecting applications for large organizations. In this episode, you will learn the following: 1. Working with Microsoft Technologies for 25 plus years and falling in love with Power BI 2. Understanding complex concepts such as incremental refresh and slowly changing dimensions in Star schema modeling 3. Forming teams of diverse skill sets to create data visualizations and build custom visual demos in Power BI. Chapter Summaries: 00:00 Introduction 11:12 Exploring the Week-to-Week Role of a Solution Architect at Munich Re 22:54 Balancing Scalability and User Requirements in Deploying Data Solutions 27:49 Power BI and the Power Platform as the Engine of Analytics in Organizations 32:52 The Benefits of Staying Within the Microsoft Ecosystem: Power BI as the Data Analytics Hub 40:07 Challenges in Large-Scale Analytics Implementation: Insights from Experts 54:38 Exploring the Future of Power BI: Anticipating Advancements and Exciting Developments 1:06:38 Final Thoughts and Connecting with Tom Martens For full show notes, and the links mentioned visit: https://www.enterprisedna.co/podcast Be our guest, register here: https://www.enterprisedna.co/be-our-podcast-guest/ Connect with me: Thomas "Tom" Martens LinkedIn: https://www.linkedin.com/in/tommartens68/ Website: https://minceddata.info "Pro DAX with Power BI." Book: https://www.amazon.com/Pro-DAX-Power-Intelligence-PowerPivot/dp/1484248961 Sam McKay Website: https://www.enterprisedna.co/ LinkedIn: https://www.linkedin.com/in/sammckayenterprisedna/ Loved this episode? Leave us a review and rating here: https://podcasts.apple.com/us/podcast/the-analytic-mind/id154106699

Aron Clymer is Founder & CEO of Data Clymer, a next gen data & analytics consulting firm that empowers every client's success by unlocking the value of data. The Data Clymer team implements modern cloud data solutions that drive positive results through data accessibility and actionable insights. Join me as we discuss data warehousing, the cloud and being a data hero.

Learn from William McKnight, an expert in data management and analytics, about how to make better decisions based on data. William is the esteemed President of McKnight Consulting Group, specialising in data analysis and strategy projects. He is also a renowned author, speaker, and educator. Hear about insights for small to medium-sized businesses and strategies for leveraging artificial intelligence and ROI. Investing in yourself and deepening your knowledge base of enterprise data topics can be instrumental for the success of your business. From personal research & development, data warehousing, analytics, and integration to quality assurance - learn from one of the industry's leading experts! Tune in now, unlock the power of data-driven decision-making, and increase your knowledge base to drive data success in your business!  

高給企業 Databricks の論文を森田が冷やかしました。

In this episode, we host Benjamin Rogojan,  also known as The Seattle Data Guy! Benjamin is an established thought leader in the data space, with videos on youtube covering topics from Vocabulary for Data Engineers 101  to  Snowflake Vs Databricks -  A Race To Build THE Cloud Data PlatformMake sure to check out all his socials below.YoutubeLinkedinTwitterWhat's New In Data is a data thought leadership series hosted by John Kutay who leads data and products at Striim. What's New In Data hosts industry practitioners to discuss latest trends, common patterns for real world data patterns, and analytics success stories.

Aron Clymer, founder and CEO of Data Clymer discusses the future of cloud data warehousing, why you may need a data lake or data warehouse, and how to tap into the insights and analytics of them.

Start having more honest conversations at work.  Leaders need to be honest with themselves and their teams if they want to make any real progress. That means having tough conversations and admitting when they're wrong. It's not easy, but it's worth it in the end. I hosted Jennifer Brant-Gargan, Chief Information Officer of Bacardi, the largest privately held spirits company in the world, producing and marketing internationally recognized spirits and wines such including BACARDÍ rum, GREY GOOSE vodka, DEWAR'S Blended Scotch whisky, PATRÓN tequila, and  BOMBAY SAPPHIRE gin. She shares an essential leadership strategy to have an honest conversation with your team that builds trust and connection. Jennifer is an experienced executive with a demonstrated history of innovation and delivery. She is skilled in Business Process, IT Strategy, Data Warehousing, Mentoring, and Management with a Information Science and Technology (BS) from The Pennsylvania State University. She's also served as a senior leader at Estee Lauder, Viacom, and JP MorganChase. LinkedIn Profile https://www.linkedin.com/in/jbrantgargan (https://www.linkedin.com/in/jbrantgargan) Company Link: https://www.bacardi.com/us/en/ (https://www.bacardi.com/us/en/) What You'll Discover in this Episode: Jennifer's story of dropping out of high school and her rise to the C-Suite. Sage advice for leaders who feel like they don't have a seat at the table. Why “digital transformation” is really about people first. Sci-Fi recommendations for a dose of inspiration. The one trait she'd instill in every employee. Her interesting perspective on how leaders should consider employee turnover. A twist in Jennifer's career that led to her growth. A key leadership strategy to have an honest conversation with your team. The first step to manage other people's perceptions of you. A quick exercise to help you prepare for an honest conversation with a team member. Two success strategies for every leader. Why you should always take the interview, including when you're not interested in leaving. How to decide what podcast to listen to. When leaders should stand at their desk during the day. Resources: Next - https://youtu.be/UTAExnBV0lc (https://youtu.be/UTAExnBV0lc)  Free Guy - https://youtu.be/X2m-08cOAbc (https://youtu.be/X2m-08cOAbc)  The First - https://youtu.be/UFWaKqGmyT0 (https://youtu.be/UFWaKqGmyT0)  Star Trek - https://en.wikipedia.org/wiki/Star_Trek (https://en.wikipedia.org/wiki/Star_Trek)  Holodeck - https://en.wikipedia.org/wiki/Holodeck (https://en.wikipedia.org/wiki/Holodeck)  Lead the Team Podcast - https://leadtheteam.captivate.fm/listen (https://leadtheteam.captivate.fm/listen)  CEOs You Should Know podcast - https://www.iheart.com/podcast/1248-ceos-you-should-know-78124463/ (https://www.iheart.com/podcast/1248-ceos-you-should-know-78124463/)  Ben's viral Linkedin video on designing your home office.- https://www.linkedin.com/posts/benfanning_upgrade-your-home-office-now-its-not-2020-activity-6942587831156453376-Xy2L?utm_source=linkedin_share&utm_medium=member_desktop_web (https://www.linkedin.com/posts/benfanning_upgrade-your-home-office-now-its-not-2020-activity-6942587831156453376-Xy2L?utm_source=linkedin_share&utm_medium=member_desktop_web)  ----- Connect with the Host, #1 bestselling author Ben Fanning https://www.benfanning.com/speaker/ (Speaking and Training inquires) https://followbenonyoutube.com (Subscribe to my Youtube channel) https://www.linkedin.com/in/benfanning/ (LinkedIn) https://www.instagram.com/benfanning1/ (Instagram) https://twitter.com/BenFanning1 (Twitter)