Podcasts about data mesh

«Det at det er en team sport; det tror jeg er i hvert fall noe data verden kan lære av (software development). / The fact that it's a team sport; that's definitely something the data world can learn from software development.»Software development is ahead of the data world in many ways, but what can we learn from its methods? Audun Fauchald Strand, Director of Platform and Infrastructure at NAV, shares insights from building autonomous teams and balancing freedom with governance.Here are my key learnings:What is a platform?A platform is something you build on top of. Something that eases building applications, because if a common ground layer.A platform reduces the need for competency, since it predefines some choices.The capacity for change is higher when building based on a common platform, then when buying applications. It's important to find a balance in how much you should standardize through a platform and how much room for innovation should be beyond that.A platform can provide an «easy choice» that is the best practice way, but it should also allow for alternative, innovative ways to get jobs done.Software Development and DataSoftware development has been a role model for data work, but they are at different stages of maturity.What is happening now in data platform is something Audun has experiences in Software 10 years ago.Yet, the principles are largely the same.Data is not as mature as software. There is still something to understand when it comes to use of tools and open source, etc.«Verden har blitt god å lage software. /The world has become real good at making software.»There is a certain agreement on what good looks like in software.Software has embraced open source in a much larger degree then data.Data Mesh and the need for scaleData Mesh was a description if the data world from the perspective of a software developer.Change in architecture of operational environments have led to more possibilities to scale and to speed up operational data processing.This changes the need for speedy analytical data environments that have traditionally been built to compensated for the reduced flexibility of operational environments.Scaling up in a Data Mesh fashion, requires more data and analytical competency in teams.TeamsWorking in teams, and having team ownership of products creates a certain sustainability over time.In software, with open source utilization, only teams can take technological decisions. Who else could decide what library to use for what purpose, then the team working hands on?You have to believe in autonomous teams for them to work. If not you will create dependencies that minimize their authority as a team and thereby capabilities to deliver.To create alignment there are some steps to take, from communicating openly, creating a tech radar to ensure alignment between team, to describing deliberate choices, rather then general principles.5 learnings from article on alignment and autonomy:Insource data expertise to ensure ownership, security, and business alignment.Embed data professionals in cross-functional teams to enhance collaboration and generate actionable insights.Balance team autonomy with governance by allowing flexible tool use within standardized data policies.Foster continuous learning through asynchronous knowledge-sharing tools like wikis and Slack.Provide clear direction with self-service data platforms to support scalability, efficiency, and governance.

Zhamak Dehghani (creator of Data Mesh, CEO of NextData) joins me to chat about what she thinks is next in data - autonomous data products, decentralized data and AI, and much more. Zhamak is one of the people I most respect in our industry. She's a once-in-a generation phenomenon who will change the trajectory of our industry.

Danilo Sato, global VP of AI with Thoughtworks, joins host Andrew Miller to discuss mastering data mesh - including the four key principles of data mesh, common misconceptions, and interesting use cases. Please visit Mastering Data Mesh: From Principles to Practice for more information on Danilo's course at TDWI San Diego. ____________ More information: ·       TDWI Conferences: https://bit.ly/3XqBhGH ·       TDWI Modern Data Leader's Summits: https://bit.ly/4902fuu ·       TDWI Virtual Summits: https://bit.ly/31HJ2xr ·       Seminars: https://bit.ly/3WxQPr4 ·       More Speaking of Data Episodes: https://bit.ly/3JsQPWo Follow Us on: ·       LinkedIn - https://bit.ly/42zCZZB ·       Facebook - https://bit.ly/49uej7j ·       Instagram - https://bit.ly/3HM8x57 ·       X - https://bit.ly/3SsYu9P

Solène Bergaire est Lead Data Scientist chez Pernod Ricard. On revient sur son plus gros challenge de ces dernières années : scaler l'équipe Data Science.On aborde :

Zhamak Dehghani joins the Practical Data Community for an open-ended Q&A about autonomous data products, Data Mesh, NextData and much more.NextData: https://www.nextdata.com/Practical Data Community: https://discord.gg/gNfw5AKWSK

Thu, 01 May 2025 22:00:00 +0000 https://mydata.podigee.io/268-neue-episode fe3e061bdafcc56e306e83052e7c7311 Wie werden Marketing-Daten in einem globalen Konzern wie ZEISS optimal verwaltet und genutzt? Welche Rolle spielen Datenprodukte und warum ist eine zentrale Governance-Einheit wichtig, um Marketing-Teams ideal zu unterstützen? In der aktuellen Folge von MY DATA IS BETTER THAN YOURS spricht Jonas Rashedi mit Vanessa Güttinger. Sie verantwortet die Marketing Data Landing Zone bei ZEISS Group und gibt Einblicke in ihren spannenden Arbeitsalltag. Vanessa beschreibt, wie das Team die Anforderungen aus den Fachabteilungen aufnimmt, Datenprodukte entwickelt und gleichzeitig eine umfassende Governance sicherstellt. Besonders hervorzuheben ist der pragmatische Umgang mit Datenqualität, bei dem sowohl technische als auch Business-Aspekte berücksichtigt werden. Außerdem sprechen Jonas und Vanessa über Karrierewege im Data-Umfeld und persönliche Erfahrungen in kleinen und großen Unternehmen. MY DATA IS BETTER THAN YOURS ist ein Projekt von BETTER THAN YOURS, der Marke für richtig gute Podcasts. Zum LinkedIn-Profil von Vanessa: https://www.linkedin.com/in/vanessa-g%C3%BCttinger-7041a5231/ Zur Webseite von ZEISS Digital Partners: https://www.zeiss.de/corporate/ueber-zeiss/zukunft/new-business-bei-zeiss/zeiss-digital-partners.html Zu allen wichtigen Links rund um Jonas und den Podcast: https://linktr.ee/jonas.rashedi Zeitstempel: 00:00:00 Intro & Themenübersicht 00:02:02 Vorstellung Vanessa 00:03:15 Aufbau & Einordnung der Data Landing Zones 00:07:22 Governance & Datenschutz 00:10:21 Teamgröße & Zusammenarbeit 00:12:40 Prozessbeschreibung Marketing-Tools 00:17:16 Verantwortung Datenqualität 00:20:00 Vergleich zu anderen Unternehmen 00:26:40 Datenprodukte bei ZEISS 00:32:33 Aufgaben der Analysten 00:37:26 Data Game full no Marketing Data,Governance,Data Mesh,ZEISS Digital Partners,Datenqualität,Datenprodukte,Data Analytics,Karriere Data,Datenstrate

Thibault Lefèvre est Global Data & AI Product Manager sur le périmètre Manufacturing et Supply chez Sanofi, le groupe pharmaceutique leader mondial. Il nous parle des 3 piliers de leur stratégie Data et IA.On aborde :

Highlights from this week's conversation include:AI in Transcription Services (1:11)The Future of AI Companies (5:09)Potential Risks of AI Tools (8:57)Learning vs. Dependency in Programming (10:17)The Journey of a Data Analyst (12:07)AI and Coding Skills (14:06)Abstraction in Data Tools (16:59)Data Design and AI (19:07)User Experience vs. AI Automation (22:10)AGI and Data Mesh (24:36)Blank Screen Interaction Challenges (27:10)Understanding User Value in Data Platforms (32:22)AI's Role in Simplifying Data Interaction (34:04)Final Thought and Takeaways (35:05)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.

Tim and Juan meet in person with Jean-Georges Perrin for a longer-than-usual episode. Together, they unpack the real meaning behind data contracts, explaining how these agreements serve as the backbone for successful data products and the practical framework for data mesh implementation. If you want to cut through all the jargon and buzzwords and get to an Honest, No-BS discussion, this is the episode for you!

Tim and Juan meet in person with Jean-Georges Perrin for a longer-than-usual episode. Together, they unpack the real meaning behind data contracts, explaining how these agreements serve as the backbone for successful data products and the practical framework for data mesh implementation. If you want to cut through all the jargon and buzzwords and get to an Honest, No-BS discussion, this is the episode for you!

Milyen újdonságot hoz az adattárolásba a data mesh, és milyen eszközöket kínál az Amazon Web Services (AWS) ennek megvalósításához? Milyen skálázhatósági problémákkal küzdenek a vállalatok? Milyen újdonságokat mutat be az AWS 2025-ben?Ezekre a kérdésekre is választ kaphatnak, ha meghallgatják a beszélgetést, amelyet a TC2 szakértőivel – Czirok Lászlóval, a TC2 Principal Cloud Architectjével és Stadler Gellérttel, a vállalat Data&AI Team Leaderével – folytatott a házigazda, Gróf József, az ITBUSINESS online szerkesztője. Ígérjük, hogy a mesterséges intelligenciát kedvelő hallgatóink sem fognak unatkozni: az Amazon Nova modelljei, a DeepSeek-R1 és Amazon Bedrock megoldásai is helyet kaptak.Ha érdekel a Data Mesh koncepciója, az AWS legfrissebb fejlesztései, ne hagyd ki ezt az adást!

Brahim Abdesslam est un expert de la data et de l'IA, il travaille dans le domaine depuis plus de 10 ans et est Vice-Président chez Keyrus, le cabinet de conseil spécialisé sur la Data et l'IA.On aborde :

Highlights from this week's conversation include:The Return of the Cynical Data Guy (0:14)Risks of SQL Complexity (2:16)Technical Debt in Data (4:34)Data Mesh Critique (6:38)Governance vs. Decentralization (9:55)Never Let a Stakeholder Tell You They Need a Dashboard (12:05)Dashboard vs. Table (13:34)Organizational Dynamics in Data Requests (16:35)AI and Prompt Writing (19:43)Search Techniques and User Behavior (21:20)Discussion on Code Optimization Tools (23:19)Final Thoughts and Takeaways (24:47)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.

S1 Ep#34: The Future of Data Mesh The Data Product Management In Action podcast, brought to you by executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences.  In Season 01, Episode 34, Join host Michael Toland as he welcomes Tom DeWolf, a data mesh expert with a PhD in distributed systems and years of experience in software engineering. Tom shares insights from his four-year journey in data mesh, emphasizing the need for self-service in data products, the benefits of an evolutionary architecture, and the challenges of governance in multi-organization environments. He also discusses key lessons from past failures, highlighting the critical role of user engagement in building successful data ecosystems. Don't miss this deep dive into the future of data management! About our Host Michael Toland: Michael is a Product Management Coach and Consultant with Pathfinder Product, a Test Double Operation. He has worked in product officially since 2016, where he worked at Verizon on large scale system modernizations and migration initiatives for reference data and decision platforms. Outside of his professional career, Michael serves as the Treasurer for the New Leaders Council, mentors fellows with Venture for America, sings in the Columbus Symphony, writing satire posts for his blog Dignified Product or Test Double, depending on the topic, and is excited to be chatting with folks on Data Product Management. Connect with Michael on LinkedIn. About our guest Tom DeWolf: Tom is an experienced hands-on architect and serves as the innovation lead, spearheading new innovative initiatives for ACA Group. His expertise lies in data mesh platform and platform engineering, leveraging his background in software engineering and experience in designing various architectures, including software, microservices, data platforms, evolutionary architectures, among others. Tom is the founder and host of Data Mesh Belgium meetup and the new Data Mesh Live conference, and active Data Mesh community thought leader. Connect with Tom 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!         

In this episode, we dive deep into the world of data decentralization with Zhamak Dehghani, founder of Data Mesh and CEO of Next Data. Zhamak, a pioneer in the field, shares her vast experience and insights into how data mesh is reshaping the way organizations manage and leverage their data. Zhamak explains the key concepts behind data mesh and its importance in solving data scalability challenges. With her expertise in designing data-driven solutions, she walks us through real-world use cases and the core principles that make data mesh a game-changer for modern businesses. Host: Jake Aaron Villarreal, leads the top AI Recruitment Firm in Silicon Valley www.matchrelevant.com, uncovering stories of funded startups and goes behinds to scenes to tell their founders journey.  If you are growing AI Startup or have a great storytelling, email us at: jake.villarreal@matchrelevant.com  

The Data Product Management In Action podcast, brought to you by executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences. In this episode of Data Product Management in Action, we introduce our new host, Amritha Arun Babu! With over eight years of experience, Amritha shares her transition from engineering to product management and her impressive journey. She discusses scaling Amazon Today's same-day delivery program, building code-to-cash products, and her current role at Klaviyo, where she's shaping AI-driven features and refining ML platforms. Amritha emphasizes the value of understanding user needs, designing secure, scalable systems, and overcoming cross-functional challenges. Her advice to fellow product managers: network, share your experiences, and enjoy the ride! About our Host Amritha Arun Babu: Amritha is an accomplished Product Leader with over a decade of experience building and scaling products across AI platforms, supply chain systems, and enterprise workflows in industries such as e-commerce, AI/ML, and marketing automation. At Amazon, she led machine learning platform products powering recommendation and personalization engines, building tools for model experimentation, deployment, and monitoring that improved efficiency for 1,500+ ML scientists. At Wayfair, she managed international supply chain systems, overseeing contracts, billing, product catalogs, and vendor operations, delivering cost savings and optimizing large-scale workflows. At Klaviyo, she drives both AI infrastructure and customer-facing AI tools, including recommendation engines, content generation assistants, and workflow automation agents, enabling scalable and personalized marketing workflows. Earlier, she worked on enterprise systems and revenue operations workflows, focusing on cost optimization and process improvements in complex technical environments. Amritha excels at bridging technical depth with strategic clarity, leading cross-functional teams, and delivering measurable business outcomes across diverse domains. Connect with Amritha 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! 

In this episode of the Data Culture Podcast, Carsten and Wayne Eckerson discuss the evolution of data products and data marketplaces. They focus on the distinction between data assets and data products, and the critical role of product management in ensuring their value and usability.

S1 Ep#30: From Engineering to Data Strategy: Driving AI and Decision-Making The Data Product Management In Action podcast, season 1, is brought to you by Soda and executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences. Our guest this week is Theo Bell, a data product manager. She chats with host Nick Zerviudis and shares her transition from mechanical engineering to roles at Goldman Sachs and Palantir, emphasizing the importance of data integration in strategic decision-making. She discusses how Palantir helped a manufacturer prioritize client orders during raw material shortages and explores the challenges of convincing stakeholders to adopt new data models, advocating for production-ready pilots over proof-of-concepts. Theo also offers insights on fostering AI adoption within organizations, using a news summarization tool for a CEO as an example. She recommends the GTD framework and Surrounded by Idiots for enhancing productivity and communication. About our Host Nick Zervoudis: Nick is Head of Product at CKDelta, an AI software business within the CK Hutchison Holdings group. Nick oversees a portfolio of data products and works with sister companies to uncover new opportunities to innovate using data, analytics, and machine learning. Nick's career has revolved around data and advanced analytics from day one, having worked as an analyst, consultant, product manager, and instructor for startups, SMEs, and enterprises including PepsiCo, Sainsbury's, Lloyds Banking Group, IKEA, Capgemini Invent, BrainStation, QuantSpark, and Hg Capital. Nick is also the co-host of London's Data Product Management meetup, and speaks & writes regularly about data & AI product management. Connect with Nick on LinkedIn and through his newsletter, Value from Data & AI. About our Guest Theo Bell: Theo is the Head of AI Product at Rimes, where she leads the company's efforts to leverage AI technology in order to provide cutting-edge data management solutions to clients. Previously, Theo held key roles at Palantir Technologies and Goldman Sachs, where she enabled various industries to leverage data through AI/ML-driven software, notably Airbus' Skywise platform, the NHS, and the UK Ministry of Defense. Theo is dedicated to using AI and technology for global challenges, particularly in improving health, enhancing society, and fostering sustainable businesses. She holds a PhD in Engineering from the University of Cambridge.  Connect with Theo in 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!    .

Thu, 30 Jan 2025 23:00:00 +0000 https://mydata.podigee.io/255-new-episode 2d18b486b7907791e612851c261b786d Wie implementiert man Data Mesh in einem Traditionsunternehmen? Welche Rolle spielen zentrale und dezentrale Teams? Und warum ist die richtige Balance zwischen Governance und Flexibilität so entscheidend? Darum geht es in der neuen Folge von MY DATA IS BETTER THAN YOURS, in der Host Jonas Rashedi mit Laura Velikonja spricht. Diese verantwortet als Head of Business Data Analytics die Implementierung von Reporting Lösungen. bei der ZEISS Group. Zunächst geht es im Gespräch um den Aufbau von Data Mesh bei der ZEISS Group. Das Traditionsunternehmen mit über 46.000 Mitarbeitern an 50 Standorten hat sich für einen hybriden Ansatz entschieden. Laura ist dabei in einem zentralen Team, das die Transformation unterstützt und vorantreibt. Ein Kernthema ist die Organisation der Datendomänen: zentral, hybrid oder dezentral. Für Laura ist das Ziel, die unterschiedlichen Stakeholder mit ihren verschiedenen Herausforderungen und Bedürfnissen zusammenzubringen. Der Fokus lag dabei zunächst auf Stabilität und grundlegender Infrastruktur. Laura teilt auch konkrete Use Cases! Dabei ist es ihr wichtig, möglichst einfach anzufangen und erstmal zu schauen, welche Daten überhaupt da sind und wie man den Stakeholdern helfen kann, ihr Business besser zu verstehen. Bei der Implementierung wurden auch neue Tools eingeführt. Zum Beispiel wird Power BI für Visualisierungen genutzt. Die Entscheidung dafür wurde in mehreren Workshops mit verschiedenen Anbietern getroffen - ein Paradebeispiel für effektives Stakeholder-Management. Zum Schluss spricht Laura über die Herausforderungen eines internationalen Teams. Mit 9 Nationalitäten an 3 Standorten ist Diversität gelebte Realität. Das erfordert viel Kommunikation und regelmäßige persönliche Treffen. MY DATA IS BETTER THAN YOURS ist ein Projekt von BETTER THAN YOURS, der Marke für hochwertige Podcasts. Zum LinkedIn-Profil von Laura: https://de.linkedin.com/in/laura-luisa-velikonja-25687b46 Zur Webseite der Zeiss Group: https://www.zeiss.de/corporate/home.html Zu allen wichtigen Links rund um Jonas und den Podcast: Podcast: https://linktr.ee/jonas.rashedi Diese Podcastfolge entsteht in Zusammenarbeit mit der Toolbox Datenkompetenz (TBDK). Die Toolbox ist eine vom BMBF geförderte Tool- und Lernplattform, welche Daten-Tools und digitale Lerninhalte kombiniert, um praxisorientiertes Lernen und den Umgang mit Daten zu fördern. Kostenlos und frei verfügbar für alle. TBDK-Plattform: https://beta.toolboxdatenkompetenz.de/en TBDK-Linktree: https://linktr.ee/toolboxdatenkompetenz 00:00:00 Intro und Begrüßung 00:02:03 Vorstellung Laura 00:03:08 Die ZEISS Group im Überblick 00:06:51 Data Mesh Ansatz 00:10:29 Datendomänen 00:14:45 Governance 00:18:07 Transformation bei der Zeiss Group 00:28:51 Entscheidungsfindung bei Data Mesh 00:36:24 Arbeit mit Internationalem Team 00:42:47 Data Game full no

The Data Product Management In Action podcast, brought to you by executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences. In the 25th celebration minisode of Data Product Management in Action, hosts Frannie Helforoush and Nadiem von Heydebrand reflect on the progress of data product management in 2024. They highlight the growing clarity and recognition of the field, the rise of AI product management, and the importance of thoughtful integration without succumbing to overhype. The episode revisits key 2024 discussions on building data platforms, decision support products, and data mesh implementation. Looking forward to 2025, they foresee increased interest and adoption, emphasizing the field's potential for driving organizational value. Frannie and Nadiem express excitement for future episodes and community contributions. About our Host Nadiem von Heydebrand: Nadiem is CEO and Co-Founder at Mindfuel. In 2019, he combined his passion for data science with product management and is a thought leader for data product management today, aiming to prove true value contribution from data. Working as an expert in the data industry for over a decade now, he has seen hundreds of data science initiatives, built scaled data teams and enabled global organizations like Volkswagen, Munich Re, Allianz, Red Bull, Vorwerk to become data-driven. With Mindfuel “Delight”, a Data Product Management SaaS solution combined with professional services, he brought in experience from hands-on challenges like scaling out data platforms and architecture, implementing data mesh concepts or transforming AI performance into business performance to delight consumers all over the globe. Connect with Nadiem on LinkedIn About our Host Frannie Helforoush: From coding to crafting customer-centric products, my journey began as a software engineer and evolved into a strategic product manager. With an innate curiosity for problem-solving, I fuse my expertise in data and product management to create impactful solutions as a data product manager now. With a background in both software engineering and product management, I seamlessly bridge the gap between the data and product worlds. I thrive on making data accessible and actionable for driving product innovation and  ensuring that product thinking is applied to every aspect of data management. Connect with Frannie 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!  

In dieser Folge spricht Carsten mit Jan Schwake von Interhyp über die grundlegende Transformation der IT- und Datenlandschaft des Unternehmens.

In today's fast-paced digital landscape, many companies struggle with outdated data architectures that hinder their ability to scale and innovate. VP of Data, Norbert Wirth, explores how PAYBACK transformed its data infrastructure by adopting a data mesh approach, revolutionizing the way they handle and leverage data. If you're a business leader or tech professional looking to understand how data mesh can enhance analytics speed, scalability, and drive better customer insights, this podcast is for you.

Building a Data Mesh 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 Episode 23 of Data Product Management in Action, our host Frannie Helforoush is joined by Soheil Mirchi, a technical product manager. Soheil discusses his company's shift from a centralized data lake to a decentralized data mesh architecture. He outlines the three types of data products—source-aligned, aggregated, and customer-facing—and highlights the importance of data contracts and testing. Learn about strategies for measuring success through metrics and customer feedback, along with lessons on starting small and fostering data democratization. Tune in for essential insights on effective data management! About our host Frannie Helforoush: Frannie's journey began as a software engineer and evolved into a strategic product manager. Now, as a data product manager, she leverages her expertise in both fields to create impactful solutions. Frannie thrives on making data accessible and actionable, driving product innovation, and ensuring product thinking is integral to data management. Connect with Frannie on LinkedIn. About our guest Soheil Mirchi :Soheil is a Technical Product Manager at Temedica, a health insights company focused on transforming complex healthcare and pharmaceutical data into actionable insights. Leading a team of data engineers, scientists, and analysts, Soheil drives the development of cutting-edge data products while guiding the company's transition to a data mesh architecture. He is passionate about empowering teams with the autonomy to manage their own data products and believes in a collaborative approach to driving innovation in the health tech space. Connect with Soheil 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!                

Data Dynamics: Navigating the Role of Data Product Managers 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 Episode 22 of Data Product Management in Action, we welcome back our host Michael Toland as he chats with guest Chandan Gadodia. Listen along as  they explore the vital role of data product managers. Discover the distinctions between data, IT, and functional product managers and their contributions to product success. Learn more about key focus areas like data pipelines, quality, and standards, as well as the role of AI in enhancing data quality. Join us for an enlightening discussion on the evolving landscape of data management! About our host Michael Toland: Toland is a Product Management Coach and Consultant with Pathfinder Product, aTest Double Operation. He has worked in product officially since 2016, where he worked at Verizon on large scale system modernizations and migration initiatives for reference data and decision platforms. Outside of his professional career, Michael serves as the Treasurer for the New Leaders Council, mentors fellows with Venture for America, sings in the Columbus Symphony, writes satire posts for his blog Dignified Productor Test Double, depending on the topic, and is excited to be chatting with folks on Data Product Management. Connect with Michael on LinkedIn. About our guest Chadan Gadodia: With over a decade serving in data and analytics, Chandan Gadodia, a seasoned Data Product Manager, has held several roles within the industry. From managing internal data assets to overseeing global data products, Chandan's passion for learning from diverse perspectives, connecting with global colleagues, and contributing to growth for himself and his organization has been constant. He is a big advocate for data literacy and strongly believes in data driven business outcomes. Connect with Chadan 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!              

Many practitioners view data mesh and data fabric as mutually exclusive approaches to data strategy. However, these paradigms complement each other. Data mesh focuses on decentralization and autonomy; Data fabric ensures centralized integration and governance. Let's dive into how blending elements of both can offer flexibility and control to create the right fit for your organization's data strategy. Published at: https://www.eckerson.com/articles/blending-data-mesh-and-data-fabric-crafting-a-balanced-data-strategy-2118cd34-e463-4468-b150-bdaf9e1c541d

Alex Merced (@AMdatalakehouse, Senior Tech Evangelist, @dremio) talks about everything data and we dig deep into Apache Iceberg and DataLakehouses.SHOW: 865Want to go to All Things Open in Raleigh for FREE? (Oct 27th-29th)We are offering 5 Free passes, first come, first serve for the Cloudcast Community -> Registration Link Instructions:Click reg linkClick “Get Tickets”Choose ticket optionProceed with registration (discount will automatically be applied, cost will be $0)SHOW TRANSCRIPT: The Cloudcast #865 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: - http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: - "CLOUDCAST BASICS" SHOW NOTES:Dremio (homepage)Hands-on with Apache Iceberg TutorialApache Iceberg Crash CourseData Lakehouses and Apache Hudi (Cloudcast Eps. 694)Apache Iceberg, the Definitive Guide (eBook)Apache Iceberg (homepage)Iceberg + Nessie Catalog (homepage)Iceberg + Polaris Catalog (homepage)AlexMerced.comDataLakehouseHub.comTopic 1 - Welcome to the show. Tell us a little bit about your background. Topic 2 - It's been a little while since we talked about Data Lakehouses, can you give us a little bit of background on this space, and what the most recent dynamics are around these technologies.Topic 3 - What are the typical integrations with a Data Lakehouse? How are users/developers typically interacting with Data Lakehouse technologies? [The marketplace for Iceberg catalogs like Nessie and Polaris]Topic 4 - How does an open data format like Apache Iceberg fit into the bigger picture of data lakehouses, or large scale stores of data? Topic 5 - How does Dremio enable Iceberg? How does Dremio sit in the intersection of Data Lakehouse, Data Mesh and Data Virtualization trends all of which come from the same fundamental problem, the growing scale of data use cases.Topic 6 -  We've seen companies start to rethink their data in the cloud strategies. Are you seeing on-premises making a comeback for large data applicationsFEEDBACK?Email: show at the cloudcast dot netTwitter: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

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!              

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 16,  we introduce another one of our amazing hosts, Nick Zervoudis. Nick is the head of Products for Data and AI at CKDelta. He shares his journey into product management and discusses his dual roles, managing data monetization products and consulting for sister companies. We will discuss Nick's career highlights, key successes, and challenges. Get to know Nick and learn about journey into the field of Data Product management!  About our host Nick Zervoudis: Nick is Head of Product at CKDelta, an AI software business within the CK Hutchison Holdings group. Nick oversees a portfolio of data products and works with sister companies to uncover new opportunities to innovate using data, analytics, and machine learning. Nick's career has revolved around data and advanced analytics from day one, having worked as an analyst, consultant, product manager, and instructor for startups, SMEs, and enterprises including PepsiCo, Sainsbury's, Lloyds Banking Group, IKEA, Capgemini Invent, BrainStation, QuantSpark, and Hg Capital. Nick is also the co-host of London's Data Product Management meetup, and speaks & writes regularly about data & AI product management. Connect with Nick 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! 

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 17, host Nick Zervoudis ( Head of Product at CKDelta) talks to Grace Talem (Product Manager with Power Digital Marketing). In this episode Grace shares her career journey and highlights the importance of diverse experiences in shaping a successful product manager. She discusses the value of empathy, strong relationships with engineering and data teams, and the role of curiosity in asking the right questions. Listen to Grace as she shares her plans for a career break to explore new projects!  About our host Nick Zervoudis: Nick is Head of Product at CKDelta, an AI software business within the CK Hutchison Holdings group. Nick oversees a portfolio of data products and works with sister companies to uncover new opportunities to innovate using data, analytics, and machine learning. Nick's career has revolved around data and advanced analytics from day one, having worked as an analyst, consultant, product manager, and instructor for startups, SMEs, and enterprises including PepsiCo, Sainsbury's, Lloyds Banking Group, IKEA, Capgemini Invent, BrainStation, QuantSpark, and Hg Capital. Nick is also the co-host of London's Data Product Management meetup, and speaks & writes regularly about data & AI product management. Connect with Nick on LinkedIn.   About our guest Grace Halim: Grace is a seasoned product leader with a passion for building innovative products. With over 12 years of product management experience, Grace has honed her skills in leading high-performing product teams and delivering exceptional customer experiences. From crafting engaging data products to optimizing complex enterprise systems, Grace has a proven track record of success in the product management field. Grace is currently on a career break traveling around Australia in a caravan with her young family. Having been a product leader in the last two roles she held, Grace excelled in building and scaling product teams, fostering a culture of innovation, and driving business growth. Her teams' focus on customer focus and strategic thinking have been instrumental in delivering successful products that resonate with customers and drive bottom-line results. Beyond her corporate experience, Grace is an entrepreneur at heart. As co-founder of a data platform, she demonstrated her ability to turn a vision into a paying customer. Stay up to date with Grace's adventure 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!              

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. We've released a special edition series of minisodes of our podcast. Recorded live at Data Connect 2024, our host Michael Toland engages in short, sweet, informative, and delightful conversations with five prevelant practitioners who are forging their way forward in data and technology. Recorded on Day 2 of Data Connect 2024, Michael sits down with Vishaka Gupta-Cledat, CEO and co-founder of Aperture, a spin-off from Intel. They explore Aperture's mission to simplify the work of data scientists, data engineers, and machine learning teams. About our host Michael Toland: Michael is a Product Management Coach and Consultant with Pathfinder Product, a Test Double Operation. Since 2016, Michael has worked on large-scale system modernizations and migration initiatives at Verizon. Outside his professional career, Michael serves as the Treasurer for the New Leaders Council, mentors with Venture for America, sings with the Columbus Symphony, and writes satire for his blog Dignified Product. He is excited to discuss data product management with the podcast audience. About our guest Vishaka Gupta-Cledat: Vishaka is the Co-founder and CEO of ApertureData. Before launching ApertureData, she spent over seven years at Intel Labs, where she led the design and development of VDMS (the Visual Data Management System), which is now the foundation of ApertureData's flagship product, ApertureDB. Her expertise spans diverse areas, including scheduling in heterogeneous multi-core environments, graph-based storage, applications on non-volatile memory systems, and tackling visual data management challenges for analytics use cases. Connect with Vishaka 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 a practitioner.  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!

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. We've released a special edition series of minisodes of our podcast. Recorded live at Data Connect 2024, our host Michael Toland engages in short, sweet, informative, and delightful conversations with five prevelant practitioners who are forging their way forward in data and technology. Recorded on Day 2 of Data Connect 2024, Michael chats with Morgan Templar, CEO at First CDO Partners, to explore how her organization empowers companies to truly understand their data and leverage it to achieve their goals. Morgan delves into the strategies that help businesses not only comprehend the value of their data but also monetize it effectively. This conversation builds on a topic that piqued Michael's interest last year—understanding the tangible value of data and how it can be a game-changer for organizations.  About our host Michael Toland: Michael is a Product Management Coach and Consultant with Pathfinder Product, a Test Double Operation. Since 2016, Michael has worked on large-scale system modernizations and migration initiatives at Verizon. Outside his professional career, Michael serves as the Treasurer for the New Leaders Council, mentors with Venture for America, sings with the Columbus Symphony, and writes satire for his blog Dignified Product. He is excited to discuss data product management with the podcast audience. Connect with Michael on LinkedIn. About our guest Morgan Templar: Morgan is a data executive with over 20 years of experience in managing and transforming data assets. She is the best-selling author of two books, Get Governed and A Culture of Governance, which reflect her deep commitment to creating a better world through improved information. Morgan is passionate about evangelizing the importance and value of getting data right, believing that better data leads to better lives. Her mission is simple yet profound: to make the world a better place for at least one person each day, with data playing a foundational role in enhancing our daily experiences. Connect with Morgan 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 a practitioner.  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!

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. We've released a special edition series of minisodes of our podcast. Recorded live at Data Connect 2024, our host Michael Toland engages in short, sweet, informative, and delightful conversations with five prevelant practitioners who are forging their way forward in data and technology. About our host Michael Toland: Michael is a Product Management Coach and Consultant with Pathfinder Product, a Test Double Operation. Since 2016, Michael has worked on large-scale system modernizations and migration initiatives at Verizon. Outside his professional career, Michael serves as the Treasurer for the New Leaders Council, mentors with Venture for America, sings with the Columbus Symphony, and writes satire for his blog Dignified Product. He is excited to discuss data product management with the podcast audience. Connect with Michael on LinkedIn About our guest Jean-Georges Perrin: Jean-Georges “jgp” Perrin is the Chief Innovation Officer at AbeaData, where he focuses on developing cutting-edge data tooling. He chairs the Open Data Contract Standard (ODCS) at the Linux Foundation's Bitol project, co-founded the AIDA User Group, and has authored several influential books, including Implementing Data Mesh (O'Reilly) and Spark in Action, 2nd Edition (Manning). With over 25 years in IT, Jean-Georges is recognized as a Lifetime IBM Champion, a PayPal Champion, and a Data Mesh MVP. His expertise spans data engineering, governance, and the industrialization of data science. Outside of tech, he enjoys exploring Upstate New York and New England with his family. Connect with J-GP 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 a practitioner.  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!

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. We've released a special edition series of minisodes of our podcast. Recorded live at Data Connect 2024, our host Michael Toland engages in short, sweet, informative, and delightful conversations with five prevelant practitioners who are forging their way forward in data and technology. In this minisode, Michael reconnects with his former colleague Lindsay Murphy as she delves into a crucial yet often overlooked aspect of data management—cost containment. Lindsay's session at Data Connect 2024 emphasizes the importance of considering costs as a critical piece of your data team's ROI. While data teams often focus on value creation and return on investment, they can easily lose sight of the expenses associated with the complex stacks they build. Lindsay offers practical insights on how to strike a balance between innovation and cost-efficiency. Plus, a special shout-out to Lindsay's new podcast, Women Lead Data—hurrah! This podcast is set to inspire and empower women in the data industry, providing a platform for sharing experiences, insights, and strategies for success. About our host Michael Toland: Michael is a Product Management Coach and Consultant with Pathfinder Product, a Test Double Operation. Since 2016, Michael has worked on large-scale system modernizations and migration initiatives at Verizon. Outside his professional career, Michael serves as the Treasurer for the New Leaders Council, mentors with Venture for America, sings with the Columbus Symphony, and writes satire for his blog Dignified Product. He is excited to discuss data product management with the podcast audience. Connect with Michael on LinkedIn About our guest Lindsay Murphy: Lindsay is a data leader with 13 years of experience in building and scaling data teams. She has successfully launched and led data initiatives at startups such as BenchSci, Maple, and Secoda. Her expertise includes developing internal data products, implementing modern data stack infrastructures, building and mentoring data engineering teams, and crafting data strategies that align with organizational goals. An active member of the data community, Lindsay organizes the Toronto Modern Data Stack Meetup group, which boasts over 2,500 members. She has also taught Advanced dbt to more than 100 students through Uplimit and hosts a weekly podcast, Women Lead Data, where she shares insights and amplifies the voices of women in the data industry. Connect with Lindsay 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 a practitioner.  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!

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. We've released a special edition series of minisodes of our podcast. Recorded live at Data Connect 2024, our host Michael Toland engages in short, sweet, informative, and delightful conversations with five prevelant practitioners who are forging their way forward in data and technology. Recorded on Day 2 of Data Connect 2024, Michael sits down with Kim Theis, CEO Abea Data, for her first appearance at both Data Connect 2024 and in Columbus, Ohio. Kim shares insights from her recent talk at the conference, where she focused on maximizing ROI from data-driven projects—a topic she has extensively researched. Since transitioning from her role at PayPal, Kim has been on a mission to help individuals and organizations better understand the journey toward adopting data products and the tangible benefits they can offer. About our host Michael Toland: Michael is a Product Management Coach and Consultant with Pathfinder Product, a Test Double Operation. Since 2016, Michael has worked on large-scale system modernizations and migration initiatives at Verizon. Outside his professional career, Michael serves as the Treasurer for the New Leaders Council, mentors with Venture for America, sings with the Columbus Symphony, and writes satire for his blog Dignified Product. He is excited to discuss data product management with the podcast audience. Connect with Michael on LinkedIn.  About our guest Kim Theis: Kim is the CEO and co-founder of AbeaData, a company transforming how data is leveraged as a product and driving the success of AI initiatives across industries. With over 20 years of experience, Kim has a proven track record of delivering data innovation and excellence in various leadership roles. Before founding AbeaData, she served as the Head of Intelligence Automation at PayPal, where she reorganized the team to support a decentralized data framework, launched a data mesh in under a year, and led the team that pioneered the world's first open-source Data Contract. Her extensive experience also includes executive data consulting and technology leadership roles within Fortune 500 and FTSE 100 companies. Connect with Kim 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 a practitioner.  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!

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 10, host Michael Toland (Product Management Coach and Consultant with Pathfinder Product) talks to Tarek Elqoulaq (Product Manager with Power Digital Marketing). Tarek shares his unconventional journey into data product management, despite not having a background in data or engineering. With experience in product growth and SEO consulting for companies like Audible, Spotify, and Dropbox, Tarek offers a unique perspective on shifting into data platform product management. He and Michael delve into the resources that helped him bridge the knowledge gap, emphasizing the value of hands-on learning. Tarek also discusses the importance of building cross-functional relationships and understanding the architecture and design of the systems you work with. This mindset shift enables tailoring solutions that add value across the organization, highlighting the significance of prioritization and alignment with broader business goals. About our host Michael Toland: Michael is a Product Management Coach and Consultant with Pathfinder Product, a Test Double Operation. Since 2016, Michael has worked on large-scale system modernizations and migration initiatives at Verizon. Outside his professional career, Michael serves as the Treasurer for the New Leaders Council, mentors with Venture for America, sings with the Columbus Symphony, and writes satire for his blog Dignified Product. He is excited to discuss data product management with the podcast audience. Connect with Michael on LinkedIn. About our guest Tarek Elqoulaq: Tarek is a product manager specializing in data platforms, with a passion for building systems that drive high-revenue data products. He previously worked in product growth and consulting, collaborating closely with SEO and product teams at companies like Audible, Spotify, and Dropbox, among others. Connect with Tarek 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!

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 09, host Frannie Helforoush (Senior Digital Product Manager at RBC Global Asset Management) talks to guest Jill Maffeo (Principal Product Manager at Vista). Jill is a data and product management practitioner who joins Frannie in conversation to talk about building and leading effective data and product teams. There's a lot for listeners to takeaway including challenges faced by Jill and how to foster collaboration and drive success. A few of the big questions tackled in this episode are: What are the key elements in building a cohesive and productive team? How can you optimize team structures for efficiency and innovation? What is the 'Product Trio', and why is it crucial for creating successful digital products? How do you integrate data-driven insights into the product development lifecycle? What team metrics or process metrics to follow to align a team? Should a data product manager report to a CPO or a data leader?   About our host Frannie Helforoush: Frannie's journey began as a software engineer and evolved into a strategic product manager. Now, as a data product manager, she leverages her expertise in both fields to create impactful solutions. Frannie thrives on making data accessible and actionable, driving product innovation, and ensuring product thinking is integral to data management. Connect with Frannie on LinkedIn. About our guest Jill Maffeo: Jill has a background in analytics and product management, with experience spanning teams focused on channels and marketing, customer retention, customer service, and ecommerce site platforms. Currently, she leads the strategy for Site Search at Vistaprint, overseeing a dynamic team of software engineers, data engineers, a data product analyst, and data scientists dedicated to enhancing customer and partner experiences. Jill's professional passion lies in metadata development and management, providing solid foundational data to build models and orchestrate customer journeys. Outside of work, she enjoys good books, tasty food, and going on walks. Connect with Jill 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!

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 08, host Frannie Helforoush (Senior Digital Product Manager at RBC Global Asset Management) and guest Corrin Sholomo Goldenberg (Product Manager at Chainlink Labs), a practitioner with experience in both software product management and data product management, focus their conversation on building data platforms and teams from scratch. Their conversation also explores team dynamics and structure in product and data management. Takeaways include insights into KPIs and metrics to measure success, effective team structures, collaboration strategies, and the integration of diverse expertise.  About our host Frannie Helforoush: Frannie's journey began as a software engineer and evolved into a strategic product manager. Now, as a data product manager, she leverages her expertise in both fields to create impactful solutions. Frannie thrives on making data accessible and actionable, driving product innovation, and ensuring product thinking is integral to data management. Connect with Frannie on LinkedIn. About our guest Corrin Shlomo Goldenberg: Corrin is a data-driven product manager with nearly two decades of experience in the tech industry, that fuels the creation of impactful data products that make a real difference. Corrin is passionate about uncovering insights across diverse fields. Connect with Corrin 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!

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 07, host Michael Toland (Product Management Coach and Consultant with Pathfinder Product) engages in a deep discussion with Andrew Warner (Senior Product Manager at Genome Medical) about the intriciacies of monetizing and marketing healthcare data products. They cover the full gamut from product development, market research, and product validation, to privacy and ethical considerations, as well as financing and funding models. Both Andrew and Michael share their experiences, insights on common pitfalls, and valuable lessons learned.  About our host Michael Toland: Michael is a Product Management Coach and Consultant with Pathfinder Product, a Test Double Operation. Since 2016, Michael has worked on large-scale system modernizations and migration initiatives at Verizon. Outside his professional career, Michael serves as the Treasurer for the New Leaders Council, mentors with Venture for America, sings with the Columbus Symphony, and writes satire for his blog Dignified Product. He is excited to discuss data product management with the podcast audience. Connect with Michael on LinkedIn. About our guest Andrew Warner: Andrew is a Senior Product Manager with eight years of experience in healthcare platforms, data, and integration. He has worked on a diverse range of projects, from mobile apps that reach millions of users to internal data systems that drive business growth. Andrew is passionate about challenging the status quo and fostering business innovation by introducing products that resonate with consumers. Connect with Andrew 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.

Joe and Matt are going to take the summer off from the Monday Morning Data Chat. They'll chat about what's on their minds, summer plans, and more. Plus, special guest Zhamak Dehghani discusses the current state of Data Mesh, and what she's up to at NextData.

Summary Modern businesses aspire to be data driven, and technologists enjoy working through the challenge of building data systems to support that goal. Data governance is the binding force between these two parts of the organization. Nicola Askham found her way into data governance by accident, and stayed because of the benefit that she was able to provide by serving as a bridge between the technology and business. In this episode she shares the practical steps to implementing a data governance practice in your organization, and the pitfalls to avoid. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst is an end-to-end data lakehouse platform built on Trino, the query engine Apache Iceberg was designed for, with complete support for all table formats including Apache Iceberg, Hive, and Delta Lake. Trusted by teams of all sizes, including Comcast and Doordash. Want to see Starburst in action? Go to dataengineeringpodcast.com/starburst (https://www.dataengineeringpodcast.com/starburst) and get $500 in credits to try Starburst Galaxy today, the easiest and fastest way to get started using Trino. This episode is supported by Code Comments, an original podcast from Red Hat. As someone who listens to the Data Engineering Podcast, you know that the road from tool selection to production readiness is anything but smooth or straight. In Code Comments, host Jamie Parker, Red Hatter and experienced engineer, shares the journey of technologists from across the industry and their hard-won lessons in implementing new technologies. I listened to the recent episode "Transforming Your Database" and appreciated the valuable advice on how to approach the selection and integration of new databases in applications and the impact on team dynamics. There are 3 seasons of great episodes and new ones landing everywhere you listen to podcasts. Search for "Code Commentst" in your podcast player or go to dataengineeringpodcast.com/codecomments (https://www.dataengineeringpodcast.com/codecomments) today to subscribe. My thanks to the team at Code Comments for their support. Your host is Tobias Macey and today I'm interviewing Nicola Askham about the practical steps of building out a data governance practice in your organization Interview Introduction How did you get involved in the area of data management? Can you start by giving an overview of the scope and boundaries of data governance in an organization? At what point does a lack of an explicit governance policy become a liability? What are some of the misconceptions that you encounter about data governance? What impact has the evolution of data technologies had on the implementation of governance practices? (e.g. number/scale of systems, types of data, AI) Data governance can often become an exercise in boiling the ocean. What are the concrete first steps that will increase the success rate of a governance practice? Once a data governance project is underway, what are some of the common roadblocks that might derail progress? What are the net benefits to the data team and the organization when a data governance practice is established, active, and healthy? What are the most interesting, innovative, or unexpected ways that you have seen data governance applied? What are the most interesting, unexpected, or challenging lessons that you have learned while working on data governance/training/coaching? What are some of the pitfalls in data governance? What are some of the future trends in data governance that you are excited by? Are there any trends that concern you? Contact Info Website (https://www.nicolaaskham.com/) LinkedIn (https://www.linkedin.com/in/nicolaaskham/) Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com)) with your story. Links Website (https://www.nicolaaskham.com/) Master Data Management (https://en.wikipedia.org/wiki/Master_data_management) Cartesian Join (https://www.geeksforgeeks.org/cartesian-join/) DAMA == Data Management Community (https://www.dama.org/) DMBOK == Data Management Body of Knowledge (https://www.dama.org/cpages/body-of-knowledge) DAMA DMBOK Wheel (https://www.dama.org/cpages/dmbok-2-wheel-images) CDMP (Certified Data Management Professional) Exam (https://www.dama.org/cpages/cdmp-information) Data Mesh (https://www.datamesh-architecture.com/) Data Governance First Steps Checklist (https://www.nicolaaskham.com/free-data-governance-checklist) The Never Normal (https://www.linkedin.com/newsletters/the-never-normal-6862024032934477824/) The intro and outro music is from The Hug (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)

Please Rate and Review us on your podcast app of choice!Get involved with Data Mesh Understanding's free community roundtables and introductions: https://landing.datameshunderstanding.com/If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see hereEpisode list and links to all available episode transcripts here.Provided as a free resource by Data Mesh Understanding. Get in touch with Scott on LinkedIn.Transcript for this episode (link) provided by Starburst. You can download their Data Products for Dummies e-book (info-gated) here and their Data Mesh for Dummies e-book (info gated) here.Mirela's LinkedIn: https://www.linkedin.com/in/mirelanavodaru/In this episode, Scott interviewed Mirela Navodaru, Enterprise and Solution Architect for Data, Analytics, and AI at Swisscom.Some key takeaways/thoughts from Mirela's point of view:Specifically at Swisscom, it's not about doing data mesh. They want to make data a key part of all their major decisions - operational and strategic - and data mesh means they can put the data production and consumption in far more people's hands. Data mesh is a way to achieve their data goals, not the goal.When you are trying to get people bought in to something like data mesh, you always have to consider what is in it for them. Yes, the overall organization benefiting is great but it's not the best selling point

Please Rate and Review us on your podcast app of choice!Get involved with Data Mesh Understanding's free community roundtables and introductions: https://landing.datameshunderstanding.com/If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see hereEpisode list and links to all available episode transcripts here.Provided as a free resource by Data Mesh Understanding. Get in touch with Scott on LinkedIn.Transcript for this episode (link) provided by Starburst. You can download their Data Products for Dummies e-book (info-gated) here and their Data Mesh for Dummies e-book (info gated) here.Alyona's LinkedIn: https://www.linkedin.com/in/alyonagalyeva/In this episode, Scott interviewed Alyona Galyeva, Principal Data Engineer at Thoughtworks. To be clear, she was only representing her own views on the episode.Some key takeaways/thoughts from Alyona's point of view:?Controversial? People keep coming up with simple phrasing and a few sentences about where to focus in data mesh. But if you're headed in the right direction, data mesh will be hard, it's a big change. You might want things to be simple but simplistic answers aren't really going to lead to lasting, high-value change to the way your org does data. Be prepared to put in the effort to make mesh a success at your organization, not a few magic answers.!Controversial! Stop focusing so much on the data work as the point. It's a way to derive and deliver value but the data work isn't the value itself. Relatedly, ask what are the key decisions people need to make and what is currently preventing them from making those decisions. Those are likely to be your best use cases.When it comes to Zhamak's data mesh book, it needs to be used as a source of inspiration instead of trying to use it as a manual. Large concepts like data mesh cannot be copy/paste, they must be adapted to your organization.It's really important to understand your internal data flows. Many people inside organizations - especially the data people - think they know the way data flows across the organization, especially for key use cases. But when you dig in, they don't. Those are some key places to deeply investigate first to add value.On centralization versus decentralization, it's better to think of each decision as a slider rather than one or the other. You need to find your balances and also it's okay to take your time as you shift more towards decentralization for many aspects. Change management is best done incrementally. ?Controversial? A major misunderstanding of data mesh that some long-time data people have is that it is just sticking a better self-serve consumption...

Please Rate and Review us on your podcast app of choice!Get involved with Data Mesh Understanding's free community roundtables and introductions: https://landing.datameshunderstanding.com/If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see hereEpisode list and links to all available episode transcripts here.Provided as a free resource by Data Mesh Understanding. Get in touch with Scott on LinkedIn.Transcript for this episode (link) provided by Starburst. You can download their Data Products for Dummies e-book (info-gated) here and their Data Mesh for Dummies e-book (info gated) here.Arne's LinkedIn: https://www.linkedin.com/in/arnelaponin/Chris' LinkedIn: https://www.linkedin.com/in/ctford/Foundations of Data Mesh O'Reilly Course: https://www.oreilly.com/videos/foundations-of-data/0636920971191/Data Mesh Accelerate workshop article: https://martinfowler.com/articles/data-mesh-accelerate-workshop.htmlIn this episode, Scott interviewed Arne Lapõnin, Data Engineer and Chris Ford, Technology Director, both at Thoughtworks.From here forward in this write-up, I am combining Chris and Arne's points of view rather than trying to specifically call out who said which part.Some key takeaways/thoughts from Arne and Chris' point of view:Before you start a data mesh journey, you need an idea of what you want to achieve, a bet you are making on what will drive value. It doesn't have to be all-encompassing but doing data mesh can't be the point, it's an approach for delivering on the point

Please Rate and Review us on your podcast app of choice!Get involved with Data Mesh Understanding's free community roundtables and introductions: https://landing.datameshunderstanding.com/If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see hereEpisode list and links to all available episode transcripts here.Provided as a free resource by Data Mesh Understanding. Get in touch with Scott on LinkedIn.Transcript for this episode (link) provided by Starburst. You can download their Data Products for Dummies e-book (info-gated) here and their Data Mesh for Dummies e-book (info gated) here.Saba's LinkedIn: https://www.linkedin.com/in/sabaishaq/Decide Data website: ttps://www.decidedata.com/In this episode, Scott interviewed Saba Ishaq, CEO and Founder of her own data as a service consultancy, Decide Data, which also provides 3rd party DAaaS (Data Analytics as a Service) solutions.Some key takeaways/thoughts from Saba's point of view:"If you don't know what you want, you're going to end up with a lot of what you don't want." This is especially true in collaborating with business stakeholders when it comes to data

Please Rate and Review us on your podcast app of choice!Get involved with Data Mesh Understanding's free community roundtables and introductions: https://landing.datameshunderstanding.com/If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see hereEpisode list and links to all available episode transcripts here.Provided as a free resource by Data Mesh Understanding. Get in touch with Scott on LinkedIn.Transcript for this episode (link) provided by Starburst. You can download their Data Products for Dummies e-book (info-gated) here and their Data Mesh for Dummies e-book (info gated) here.Basten's LinkedIn: https://www.linkedin.com/in/basten-carmio-2585576/In this episode, Scott interviewed Basten Carmio, Customer Delivery Architect of Data and Analytics at AWS Professional Services. To be clear, he was only representing his own views on the episode.Some key takeaways/thoughts from Basten's point of view:Your first use case - at the core - should A) deliver value in and of itself and B) improve your capabilities to deliver on incremental use cases. That's balancing value delivery, improving capabilities, and building momentum which are all key to a successful long-term mesh implementation.When thinking about data mesh - or really any tech initiative - it's crucial to understand your starting state, not just your target end state. You need to adjust any approach to your realities and make incremental progress.?Controversial?: Relatedly, it's very important to define what success looks like. Doing data mesh cannot be the goal. You need to consider your maturity levels and where you want to focus and what will deliver value for your organization. That is different for each organization. Scott note: this shouldn't be controversial but many companies are not defining their mesh value bet…Even aligning everyone on your organization's definition of mesh success will probably be hard. But it's important to do.For a data mesh readiness assessment, consider where you can deliver incremental value and align it to your general business strategy. If you aren't ready to build incrementally, you aren't going to do well with data mesh.A common value theme for data mesh implementations is easier collaboration across the organization through data; that leads to faster reactions to changes and opportunities in your markets. Mesh done well means it's far faster and easier for lines of business to collaborate with each other - especially in a reliable and scalable way - and there are far better standard rules/policies/ways of working around that collaboration. But organizations have to see value in that or there...

Please Rate and Review us on your podcast app of choice!Get involved with Data Mesh Understanding's free community roundtables and introductions: https://landing.datameshunderstanding.com/If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see hereEpisode list and links to all available episode transcripts here.Provided as a free resource by Data Mesh Understanding. Get in touch with Scott on LinkedIn.Transcript for this episode (link) provided by Starburst. You can download their Data Products for Dummies e-book (info-gated) here and their Data Mesh for Dummies e-book (info gated) here.Olga's LinkedIn: https://www.linkedin.com/in/olga-maydanchik-23b3508/Walter Shewhart - Father of Statistical Quality Control: https://en.wikipedia.org/wiki/Walter_A._ShewhartWilliam Edwards Deming - Father of Quality Improvement/Control: https://en.wikipedia.org/wiki/W._Edwards_DemingLarry English - Information Quality Pioneer: https://www.cdomagazine.tech/opinion-analysis/article_da6de4b6-7127-11eb-970e-6bb1aee7a52f.htmlTom Redman - 'The Data Doc': https://www.linkedin.com/in/tomredman/In this episode, Scott interviewed Olga Maydanchik, an Information Management Practitioner, Educator, and Evangelist.Some key takeaways/thoughts from Olga's point of view:Learn your data quality history. There are people who have been fighting this good fight for 25+ years. Even for over a century if you look at statistical quality control. Don't needlessly reinvent some of it :)Data literacy is a very important aspect of data quality. If people don't understand the costs of bad quality, they are far less likely to care about quality.Data quality can be a tricky topic - if you let consumers know that the data quality isn't perfect, they can lose trust. But A) in general, that conversation is getting better/easier to have and B) we _have_ to be able to identify quality as a problem in order to fix it.Data quality is NOT a project - it's a continuous process.Even now, people are finding it hard to use the well-established data quality dimensions. It's a framework for considering/measuring/understanding data quality so it's not very helpful to data...

Summary A core differentiator of Dagster in the ecosystem of data orchestration is their focus on software defined assets as a means of building declarative workflows. With their launch of Dagster+ as the redesigned commercial companion to the open source project they are investing in that capability with a suite of new features. In this episode Pete Hunt, CEO of Dagster labs, outlines these new capabilities, how they reduce the burden on data teams, and the increased collaboration that they enable across teams and business units. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. It is an open-source, cloud-native orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability. Your team can get up and running in minutes thanks to Dagster Cloud, an enterprise-class hosted solution that offers serverless and hybrid deployments, enhanced security, and on-demand ephemeral test deployments. Go to dataengineeringpodcast.com/dagster (https://www.dataengineeringpodcast.com/dagster) today to get started. Your first 30 days are free! Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics. Trusted by teams of all sizes, including Comcast and Doordash, Starburst is a data lake analytics platform that delivers the adaptability and flexibility a lakehouse ecosystem promises. And Starburst does all of this on an open architecture with first-class support for Apache Iceberg, Delta Lake and Hudi, so you always maintain ownership of your data. Want to see Starburst in action? Go to dataengineeringpodcast.com/starburst (https://www.dataengineeringpodcast.com/starburst) and get $500 in credits to try Starburst Galaxy today, the easiest and fastest way to get started using Trino. Your host is Tobias Macey and today I'm interviewing Pete Hunt about how the launch of Dagster+ will level up your data platform and orchestrate across language platforms Interview Introduction How did you get involved in the area of data management? Can you describe what the focus of Dagster+ is and the story behind it? What problems are you trying to solve with Dagster+? What are the notable enhancements beyond the Dagster Core project that this updated platform provides? How is it different from the current Dagster Cloud product? In the launch announcement you tease new capabilities that would be great to explore in turns: Make data a team sport, enabling data teams across the organization Deliver reliable, high quality data the organization can trust Observe and manage data platform costs Master the heterogeneous collection of technologies—both traditional and Modern Data Stack What are the business/product goals that you are focused on improving with the launch of Dagster+ What are the most interesting, innovative, or unexpected ways that you have seen Dagster used? What are the most interesting, unexpected, or challenging lessons that you have learned while working on the design and launch of Dagster+? When is Dagster+ the wrong choice? What do you have planned for the future of Dagster/Dagster Cloud/Dagster+? Contact Info Twitter (https://twitter.com/floydophone) LinkedIn (https://linkedin.com/in/pwhunt) Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com)) with your story. Links Dagster (https://dagster.io/) Podcast Episode (https://www.dataengineeringpodcast.com/dagster-data-applications-episode-104) Dagster+ Launch Event (https://dagster.io/events/dagster-plus-launch-event) Hadoop (https://hadoop.apache.org/) MapReduce (https://en.wikipedia.org/wiki/MapReduce) Pydantic (https://docs.pydantic.dev/latest/) Software Defined Assets (https://docs.dagster.io/concepts/assets/software-defined-assets) Dagster Insights (https://docs.dagster.io/dagster-cloud/insights) Dagster Pipes (https://docs.dagster.io/guides/dagster-pipes) Conway's Law (https://en.wikipedia.org/wiki/Conway%27s_law) Data Mesh (https://www.datamesh-architecture.com/) Dagster Code Locations (https://docs.dagster.io/concepts/code-locations) Dagster Asset Checks (https://docs.dagster.io/concepts/assets/asset-checks) Dave & Buster's (https://www.daveandbusters.com/us/en/home) SQLMesh (https://sqlmesh.readthedocs.io/en/latest/) Podcast Episode (https://www.dataengineeringpodcast.com/sqlmesh-open-source-dataops-episode-380) SDF (https://www.sdf.com/) Malloy (https://www.malloydata.dev/) The intro and outro music is from The Hug (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)

Unlock the secrets to transforming your data engineering strategies with Hubert Dulay, the mastermind behind "Streaming Data Mesh," in a riveting exploration of how the field is evolving beyond monolithic systems. As we converse with this data integration expert, you'll gain unparalleled insights into the decentralization wave sweeping across data management. Hubert unveils the power of domain-centric stewardship, where domain engineers are empowered with SQL to revolutionize analytics. Meanwhile, he advocates for a paradigm shift—one that involves harnessing data right from its origin, ensuring a seamless journey to analytics that aligns perfectly with Data Mesh's core tenets.Venture into the future with John and Hubert as they dissect the burgeoning appeal of Postgres and its ascension in the database echelon. Discover how the fusion of operational and analytical databases is redefining the industry, with a spotlight on how companies like American Airlines leverage real-time data for critical decisions in aircraft maintenance. As Hubert and John navigate the intricacies of implementing a data mesh without the pitfalls of data duplication or spiraling costs, you'll be equipped with knowledge on crafting effective data management strategies. This is an episode for those who recognize that mastering operational analytics is not just a competitive edge but an essential cornerstone for every forward-thinking enterprise.What'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.

Samia Rahman is the Director of Enterprise Data Strategy and Governance at Seagen. She's a data mesh expert, and she's here to tell us why data mesh often gets mesh-understood. Also - we discuss knowledge graphs, prompt engineering, and whether AI and data governance should be separate.