Podcasts about data engineers

Charlotte Ledoux est une experte Data & IA Gouvernance qui crée du contenu sur LinkedIn avec beaucoup de succès (+35K abonnés). Dans ce 3ème épisode ensemble, Charlotte nous fait une Masterclass sur la mise en place d'un framework data domain.On aborde :

AI Data Engineers - Data Engineering after AI // MLOps Podcast #309 with Vikram Chennai, Founder/CEO of Ardent AI.Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractA discussion of Agentic approaches to Data Engineering. Exploring the benefits and pitfalls of AI solutions and how to design product-grade AI agents, especially in data.// BioSecond Time Founder. 5 years building Deep learning models. Currently, AI Data Engineers// Related LinksWebsite: tryardent.com~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Vikram on LinkedIn: /vikram-chennai/

Samya est Generative AI Research Lead chez Pigment, la nouvelle licorne française qui a levé +230 millions de dollars.On aborde :

Lou Welgryn est Secrétaire Générale chez Data For Good, l'association qui réunit 7000 bénévoles qui travaillent sur des projets data & IA à impact. Avant ça elle était Head of Product chez Carbon4 Finance (monté par Jean-Marc Jancovici).On aborde :

Thu, 27 Mar 2025 23:00:00 +0000 https://mydata.podigee.io/263-new-episode 62e289047630ff510f640b895cd2984d Wie revolutioniert man Private Equity mit Daten? Wie trifft man bessere Investmententscheidungen? Und warum ist Datenkultur gerade in dieser Branche so wichtig? Darum geht es in der neuen Folge von MY DATA IS BETTER THAN YOURS, in der Host Jonas Rashedi mit Daniel Lebe spricht. Dieser verantwortet als Business Intelligence Developer bei FSN Capital die Themen Datenanalyse, Prozessoptimierung und Business Intelligence. Im Gespräch der beiden Data-Enthusiasten geht es zunächst um den digitalen Wandel bei FSN Capital. Das Unternehmen hat in den letzten drei Jahren eine komplette Datentransformation durchlaufen. Das Ziel: Bessere Deals durch bessere Daten! Daniel ist Teil eines sechsköpfigen Teams, welches sich um die digitale Transformation der FSN Deal Prozesse und um die akquirierten Portfolio Unternehmen kümmert. Diese Teams setzen sich aus ausgebildeten Data Scientists, einem Data Engineer und weiteren Spezialisten zusammen. Im Private-Equity Mid Market Bereich ein schlagkräftiges Team. Der Aufbau einer modernen Dateninfrastruktur war dabei die größte Herausforderung. Für Daniel liegt der Fokus darauf, die verschiedenen Stakeholder mit ihren unterschiedlichen Bedürfnissen zusammenzubringen und datenbasierte Entscheidungsgrundlagen zu schaffen. Ein besonderer Schwerpunkt liegt auf der Analyse erfolgreicher Deals. Daniel erzählt von seiner aktuellen Aufgabe, vergangene Investments zu analysieren, um daraus für zukünftige Entscheidungen zu lernen. Dabei ist ihm wichtig, möglichst einfach anzufangen und schrittweise die richtigen Fragen zu stellen. Bei dem Aufbau der Dateninfrastruktur setzt FSN Capital auf moderne Tools. Zum Beispiel wird Power BI für Visualisierungen genutzt und BigQuery als Data Warehouse. Zum Schluss spricht Daniel noch über seine persönliche Datenreise: Wie er selbst Ziele messbar macht und warum der Film "Edge of Tomorrow" sein Data Game am besten beschreibt - manchmal braucht es mehrere Iterationen und auch Rückschläge, um am Ende zum Erfolg zu kommen. MY DATA IS BETTER THAN YOURS ist ein Projekt von BETTER THAN YOURS, der Marke für richtig gute Podcasts. Zum LinkedIn-Profil von Daniel: https://de.linkedin.com/in/daniel-lebe-a75011155 Zur Webseite von FSN Capital: https://www.fsncapital.com/en/ Zu allen wichtigen Links rund um Jonas und den Podcast: https://linktr.ee/jonas.rashedi Zeitstempel: 00:00:00 Intro und Begrüßung 00:02:05 FSN Capital und Private Equity 00:05:10 Das Digital Team 00:06:57 Datenbasierte Investments 00:11:53 Herausforderungen der Datenanalyse 00:14:06 Moderne Dateninfrastruktur 00:22:47 Spannende Use Cases 00:26:53 Effektivität und Effizienz 00:28:55 Diversität im Team 00:33:51 Persönliche Datenziele 00:35:52 Daniels Data Game full no Datapodcast,Digitale Transformation,Datenanalyse,Investment,Power BI,Use Cases,Stakeholder Management,Analyse Podcast,Datenstrategie,Datenvisualisierung

This episode explores the tough decision of staying in or leaving a role. Karen Is joined by Marli van der Merwe and Rianna Kelly share personal experiences, discussing career growth, work environment, and well-being.   Marli, a Data Engineer, had only been in the UK for a few months when she decided to leave her role.  Rianna, a Senior Manager for Data Analytics Engineering, on the other hand decided to stay when she found herself in an organisation where uncertainty was constant.  The episode offers a structured approach to decision-making, considering non-negotiables, financial and emotional factors. It also addresses external constraints like visa status and how circumstances may affect your decisions on your career.   

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.

Este conteúdo é um trecho do nosso episódio: “#170 Serei dev para sempre? Explorando a transição para papéis gerenciais”. Nele, Danilo Alves, Data Engineer na dti digital, compartilha sua experiência na transição para a liderança técnica e revela como superou os desafios iniciais dessa mudança. Nossos hosts também comentam sobre como encontrar o equilíbrio entre o desenvolvimento técnico e gestão de pessoas para acelerar o crescimento de uma  equipe. Dê o play e ouça agora! Procurando uma oportunidade na área de tecnologia? Se você é uma mente criativa, a dti digital é o melhor lugar para você construir uma carreira. Confira as vagas Quer enviar uma dúvida ou ideia para o Entre Chaves? Mande uma mensagem para o nosso Linkedin ou pelo email entrechaves@dtidigital.com.br. Sua resposta pode aparecer em um dos nossos episódios!

In this episode of Take a Pain Check, Natasha sits down with Brandon Volesky to explore his journey with Juvenile Idiopathic Arthritis (JIA)—from being diagnosed at just two years old to navigating the challenges of childhood, overcoming stigma, and adapting his mindset to thrive as a husband, father, and professional. Brandon shares how his fear of medication affected his condition, how he ultimately embraced treatment, and how he transitioned from aspiring chef to becoming a Software and Data Engineer at H&R Block's Machine Learning Lab. We dive into his work in AI and healthcare, his involvement with CARRA, and his passion for improving childhood rheumatology research. Through his lived experience, Brandon is leveraging machine learning and data science to transform healthcare and support better treatment options for future generations. Donate to Take a Pain Check Today: https://www.gofundme.com/f/takeapaincheckApply to our scholarship today: https://www.takeapaincheck.com/schola...Apply for our NEW paid youth and young adult support program: https://forms.gle/W3ciBhG89eAH8QvS8Don't forget to like, comment, and subscribe for more episodes.Our socials: Website: ⁠www.takeapaincheck.comInstagram: https://www.instagram.com/takeapaincheck_/Tiktok: https://www.tiktok.com/@takeapainchec...X: https://x.com/takeapaincheckLinkedin: https://www.linkedin.com/company/take-a-pain-check/Brandon's socials: www.linkedin.com/in/bvoleskyCARRA: https://carragroup.org/Growing Pains, Copyright, 2018, Alessia Cara

Tim Frazer shares his remarkable journey from a homeschooled kid on the Canadian coast to an entrepreneur in Philadelphia. He recounts his early life, influenced by two contrasting educational philosophies, and how this paved the way for his career in operations and software development. This episode delves into the parallels between sports and coding, as Tim shares his journey from yoga all the way to Olympic lifting, drawing lessons from the competitive sports mindset. We hear how feedback loops and embracing imperfect journeys has been crucial in Tim's personal and professional development, teaching him the importance of setting ambitious goals and the 'human' skills necessary to thrive in the world of technology and entrepreneurship.Tim's social media links:LinkedIn: https://www.linkedin.com/in/iamtimfrazer/Bluesky: Tim frazer (@tfrazer.bsky.social)Substack: Tim Frazer | SubstackBooks / what we're reading:Get Better at Anything: 12 Maxims for MasteryMoney for Couples: No More Stress. No More Fights. Just a 10-Step Plan to Create Your Rich Life Together.

Jessy Hanzo est l'ex-Head of Data & Digital à l'Olympique de Marseille, le club de foot emblématique.On aborde :

Nicolas Augusti est Senior Data Scientist chez Qonto, la banque en ligne des PME et des indépendants, et également l'une des plus belles licornes françaises. La spécificité de l'équipe Data Science chez Qonto, c'est qu'elle fait de la data science appliquée à la décision.On aborde :

Meet Thalia Stavrianoudaki, a data engineer blending tech expertise and resilience in Luxembourg's tech career environment. The interview is part of our Women in STEM series.

Christophe Blefari est Staff Data Engineer, co-fondateur de nao et auteur de la newsletter data la plus connue de l'écosystème français (Blef.fr). Membre du Collectif de freelances DataGen, il est selon moi l'un des plus gros experts data en France.

Rémi Guyot est l'ancien Chief Product Officer de BlaBlaCar, la plateforme de transports partagés leader en Europe qui compte 20 millions d'utilisateurs en France. Aujourd'hui, il a co-fondé l'agence Produit Discovery Discipline et est co-auteur du livre et de la méthode du même nom.On aborde :

In deze aflevering duiken we in de toekomst van data engineering:Van data warehouses naar data lakes: waarom maakt de industrie deze shift? Wat zijn de voordelen en waarom lopen bedrijven als Databricks en Microsoft Fabric hierin voorop?De veranderende rol van de data engineer: Van traditionele SQL-taken naar software development met tools zoals Python, AI en CI/CD. Is de data engineer van nu een ontwikkelaar in disguise? We bespreken de skills overlap met software developers en de impact hiervan op ervaren professionals.Ook nemen we je mee door de technologische highlights van dit moment. Dibran bespreekt de nieuwste ontwikkelingen in Anthropic Computer Use, Remco deelt alles over de .NET 9 release en Tauri 2.0, en Gijs vertelt over Brain-Computer Interfaces.

We are back with another installment of our Exploring Tech Job Series where we dig into different technical roles to provide insight into what that role is all about. This week we are chatting about Data Engineering and we are joined by a real-life Data Engineer, Rosie! Join us as we chat about what a Data Engineer is, the day-to-day of the job, how you might get into Data Engineering, and so much more. New episodes come out fortnightly on Wednesday morning (NZT). Check out Datacamp to learn more about data engineering Where to Find Us: ⁠ ⁠Instagram⁠ ⁠Tik Tok⁠ ⁠The Hot Girls Code Website⁠⁠ Sponsored by: ⁠Trade Me Jobs⁠

What makes a nursing home one of the best? One in five U.S. nursing homes rated as “Best.” The 2025 evaluation features ratings of nearly 15,000 U.S. nursing homes. Behind those rankings that guide countless families in making life-changing decisions, there's a blend of rigorous analysis, dedication, and a commitment to quality care. Today, we're pulling back the curtain on that process and diving into the story of someone who helps shape these crucial decisions. My guest is Zach Adams, a Senior Health Data Engineer at U.S. News & World Report. Zach has become a leading force, along with his team, behind the Best Nursing Homes, Best Senior Living ratings and more. His expertise in advanced statistical modeling and data analysis ensures these rankings are more than just numbers—they're a lifeline for families navigating the complexities of healthcare. Zach's academic background in public health and epidemiology, along with his passion for improving senior care, makes him the perfect guide through this complicated landscape. In this episode, we'll talk about what makes a nursing home great, how the data is captured, the differences between short-term and long-term care, and how families can use these ratings to find the best fit for their loved ones and much more. Zach also sheds light on broader trends, like the critical staffing challenges many communities face and the role of technology in shaping the future of care. Whether you're seeking answers for today or inspiration for tomorrow, this conversation promises to be as insightful as it is empowering. Thank you so much for your insight, Zach! I'm looking forward to talking about Senior Living next time! Learn more HERE: https://www.usnews.com/info/blogs/press-room/articles/2024-11-12/u-s-news-world-report-publishes-2025-best-nursing-homes-ratings U.S. News & World Report's 2025 Best Nursing Homes ratings   We are not medical professionals and are not providing any medical advice. If you have any medical questions, we recommend that you talk with a medical professional of your choice. willGather has taken care in selecting its speakers but the opinions of our speakers are theirs alone. Thank you for your continued interest in our podcasts. Please follow for updates, rate & review! For more information about our guest, podcast & sponsorship opportunities, visit www.willgatherpodcast.com

Key Moments: Focusing on Value with Bill Schmarzo 1:48Unlocking the Collective Genius with Walid Mehanna 4:07Building a Data-Literate Workforce with Valerie Logan 5:58Creating a Human-Centric AI Strategy with Sadie St. Lawrence 7:40Selecting the Right Tools with Katie Russell 11:23Implementing tools responsibly with Robert Garnett 16:00Why Clean Data Matters with Barr Moses 19:36Ensuring Responsible AI for the Long-Term with Dr. Gary Marcus 25:45 Key Quotes:“Data-driven is not important. Value-driven—that's what's important. We should focus on value.” — Bill Schmarzo, Head of Customer Data Innovation at Dell Technologies“Our role was rather to activate the organizational muscle… to try things out and tell us what has the highest opportunity and possibility.” — Walid Mehanna, Chief Data and AI Officer at Merck Group“It's really a mindset and a muscle… we need to foster this kind of lasting change.” — Valerie Logan, CEO of the Datalodge“Teaching people to ask better questions is more about critical thinking than technology.” — Sadie St. Lawrence, Founder of the Human Machine Collaboration Institute“We wanted to make analytics accessible to everyone, combining real-time data and intuitive tools so every team member can gain insights and contribute to our mission to decarbonize.” — Katie Russell, Head of Data and Analytics at OVO Energy As we are looking at applications of AI within our environment, we are focused first on responsibility, making sure that we have a broad enough data set when we're building machine learning models, for instance. And so that's at the heart of anything that we do.” – Robert Garnett, Vice President for Government Analytics and Health Benefits Cost of Care at Elevance Health“Our world is moving towards a place where data is the product—and in that world, directionally accurate just doesn't cut it anymore.” — Barr Moses, CEO and Co-Founder of Monte Carlo“The tech policy that we set right now is going to really affect the rest of our lives.” —  Dr. Gary Marcus, Scientist, Advisor to Governments and Corporations, and Author of Taming Silicon ValleyGuest Bios Bill Schmarzo Bill Schmarzo has extensive hands-on experience in the areas of big data, data science, designthinking, data monetization, and data economics. Bill is currently part of Dell Technology's core data management leadership team, where he is responsible for spearheading customer co-creation engagement to identify and prioritize the key data management, data science, and data monetization requirements.Walid MehannaWalid Mehanna is Chief Data & AI Officer at Merck KGaA, Darmstadt, Germany, where he leads the company's Data & AI organization, delivering value, governance, architecture, engineering, and operations across the company globally. With many years experience in startups, IT, and consulting major corporations, Walid encompasses a strong understanding of the intersection between business and technology. Katie RussellKatie Russell is the Data Director at OVO Energy, leading teams of Data Scientists, Data Engineers and Analysts who are transforming OVO's data capability. As part of a technology led business, leveraging data using artificial intelligence keeps OVO truly innovative, delivering the best possible service for our customers. Rob GarnettRobert Garnett serves as Vice President for Government Analytics and Health Benefits Cost of Care at Elevance Health. In this role, he leads a data-driven organization supporting analytics and insights for Medicaid, Medicare, Commercial and enterprise customers in the areas of population health, cost of care, performance management, operational excellence, and quality improvement. Valerie LoganFounding The Data Lodge in 2019, Valerie is as committed to data literacy as it gets. With train-the-trainer bootcamps, and a peer community, she's certifying the world's first Data Literacy Program Leads. In 2023, The Data Lodge was acquired as the basis of a newly formed venture, Data Society Group (DSG), aimed at fostering data and AI literacy and cultural change at scale. Valerie is excited to also serve as the Chief Strategy Officer of DSG. Previously, Valerie was a Gartner Research VP in the CDO team where she pioneered Data Literacy research and was awarded Gartner's Top Thought Leadership Award.Sadie St. LawrenceSadie St. Lawrence  is on a personal mission to create a more compassionate and connected world through technology. Having grown up on a farm in Iowa she witnessed first-hand how advancements in technology rapidly changed how we work and earn a living, which in turn affected the overall success of a community. Through her work, she noticed that while many organizations and individuals have good intentions when it comes to D&I in data careers, there was a lack of progress.Dr. Gary MarcusGary Marcus is a leading voice in artificial intelligence. He is a scientist, best-selling author, and serial entrepreneur (Founder of Robust.AI and Geometric.AI, acquired by Uber). He is well-known for his challenges to contemporary AI, anticipating many of the current limitations decades in advance, and for his research in human language development and cognitive neuroscience. An Emeritus Professor of Psychology and Neural Science at NYU, he is the author of six books. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Welcome to today's episode where going to talk about AI agents as well as the intersection of artificial intelligence and marketing with Raj Rikhy, Principal Product Manager at Microsoft. We'll explore the functionalities and strategic uses of AI agents and how marketers can leverage them to enhance their initiatives. About Raj Rikhy As a Principal Product Manager at Microsoft, I have over six years of experience in developing and delivering innovative products that utilize Generative AI technologies, including Language Models (LLMs), to enhance data science and engineering capabilities for Microsoft Fabric. My mission is to empower customers and partners with cutting-edge AI solutions that solve complex and high-impact problems across various domains and industries. I collaborate with engineering teams, data scientists, customers, and partners to identify customer needs and market opportunities, define product requirements and roadmaps, and manage the entire product life cycle, from conception to launch. Previously, I was a Principal Product Manager at Microsoft Project Bonsai, a cloud-based deep reinforcement learning platform for industrial control systems. I also have a strong background in Data Science and Deep Learning, having worked as a Group Technical Product Manager for the Global Chief Data Office at IBM, where I enabled the end-to-end user experience for Data Scientists and Data Engineers, and scaled the adoption of distributed deep learning frameworks and tools. RESOURCES Microsoft website: https://www.microsoft.com Wix Studio is the ultimate web platform for creative, fast-paced teams at agencies and enterprises—with smart design tools, flexible dev capabilities, full-stack business solutions, multi-site management, advanced AI and fully managed infrastructure. https://www.wix.com/studio Register now for HumanX 2025. This AI-focused event which brings some of the most forward-thinking minds in technology together. Register now with the code "HX25p_tab" for $250 off the regular price. Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstrom Don't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.show Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

We've said it before and we'll say it again: No Data Science project team is complete without a string Data Engineer contingent! Please use the Contact Form on this blog or our twitter feed to send us your questions, or to suggest future episode topics you would like us to cover.

Matthew Mullins (CTO Coginiti) joins us to chat about a lot of topics, perhaps including bridging the gap between data engineers and analysts, small data, why we're still not learning from devops, the commoditization of data warehousing, and more.

Christopher Garzon, Founder and CEO of Data Engineer Academy Christopher shares his Big Tech insider's perspective on the prospects for the data engineering profession. He reveals how companies like Amazon and Lyft hire data engineers and why they can't seem to get enough, which might make breaking into Big Tech easier than other roles. We also explore why he started Data Engineer Academy and how it helps professionals, even those without previous data or tech experience, land a job as a data engineer. Christopher walks through the selection process, the curriculum, the white-glove resume, job interview, and job-coaching services, and how his alumni have made it after completing the program. This episode of "The Blind Ambition with Jack Kelly" is brought to you by Data Engineer Academy. https://dataengineerinterviews.com/ ⁠https://bit.ly/blind-podcast⁠

Send us a textIn Episode 276, I have the pleasure of conversing with Joel Dick, who is a Data Engineer at Tempered AI and adult improver. He hails from Toronto, home of our 14th Podcast Guest Mike Ivanov, who recently became an International Master. As a frum (observant) Jew, Joel has 8 kids. Joel studied in Israel with two our former podcast guests, International Master Yaacov Norowitz and Rabbi Mendy Brukirer. Joel has 13+ years of experience in both technology and finance. We speak about the relationship of chess and Judaism, tips for improvement, our Long Island Instructor Candidate Master Brian Karen's Chess Book Collectors Facebook group, community, the importance of tournaments, the influence of Sammy Reshevsky, his experience participating in the Chess Dojo and more.  

In this episode, we explore the incredible story of Zach Wilson, a data engineer who skyrocketed his annual salary from $30,000 to $500,000 in just five years.Zach shares his experiences working for top tech companies like Facebook, Netflix, and Airbnb and details his transformation from a struggling drug user to a highly successful engineer.Connect with Zach Wilson :

Should data engineers focus on the technology? Finding ways to transform data into something valuable? Both? Tevje Olin joins us to chat about what he thinks data engineers should focus on. LinkedIn: https://www.linkedin.com/in/tevjeolin/ Agile Data Engine: https://www.agiledataengine.com/

"En tant que Data Engineer je veux m'assurer que le framework de la donnée fonctionne bien" Le D.E.V. de la semaine est Christophe Blefari, Staff Data Engineer. Christophe nous explique les rôles de l'ingénieur de données, l'analyste de données et le scientifique de données, et l'intersection entre ces rôles. Christophe analyse de manière perspicace si l'ingénierie tend vers Ops ou vers Dev, en mettant en lumière l'importance cruciale des 'Pipelines'. Il pose également des questions pertinentes sur l'adaptabilité de ces rôles aux grandes entreprises et leur maturité dans le monde professionnel. Un épisode à écouter pour comprendre ces nouveaux collègues qui sont de plus en plus nombreux. Liens évoqués pendant l'émission Conférence "Data Council"Data 4 Good 🎙️ Soutenez le podcast If This Then Dev ! 🎙️ Chaque contribution aide à maintenir et améliorer nos épisodes. Cliquez ici pour nous soutenir sur Tipeee 🙏Archives | Site | Boutique | TikTok | Discord | Twitter | LinkedIn | Instagram | Youtube | Twitch | Job Board |

In Episode 38, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Rui Machado, Vice President of Data Engineering and Architecture at H&M Group, where they discuss data modelling, accessibility and translating highly technical solutions into business value, which includes;Working for household names such as Nike and Meta Leading a team of 200 Data Engineers at H&MBecoming the author of; Analytics Engineering with SQL and Dbt: Building Meaningful Data Models at ScaleH&M's focus on sustainability and society Why data modelling lost relevance and why it's had a resurgence The fundamental changes in how organisations build and use data modelsWhy decentralising ownership of data has disrupted the industry Why SQL is still the core tool for data teams and why it has survived despite the explosion of the modern data stack Why there has been a refocusing on data accessibility What sets the great engineers apart from the good engineersWhy data engineering teams need to be more aligned to their business stakeholders Why engineers need to understand the economics of building specific applications How organisations can ensure that their technical teams are delivering things that will help the business to create/realise value Why some technical people can elevate themselves into leadership and others struggle How to connect very technical concepts to business outcomes and strategiesUsing OKRs to understand business priorities and align your engineering goalsThe shift from data teams being a service team to being a partner Thanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

S5 EP 26 What's up, world! Host ⁠Brandon Avery⁠ sat down with Brink$$ owner of Sun, Moon, and Stars. By day, she's a Data Engineer and an AI master's student at Penn State, but by night, she's a creator, fashion designer, stylist, and poet. We talked about her journey, from her childhood love of all things fashion and math to balancing her tech career with her creative passions. You don't want to miss this episode—it's packed with insights and inspiration from a truly multifaceted individual!

In dieser Folge sprechen wir mit Katharina Fetzer, Leitung der IT bei Hylane, über die wichtigsten Fragen und Herausforderungen im Bereich Green IT. Katharina, Elton und Dodo teilen ihre Erfahrungen und geben praktische Tipps zur Entwicklung umweltfreundlicher Software und nachhaltiger IT-Lösungen. Wir sprechen unter anderem über: - Den Wasser-Footprint von GPT-3 und die Auswirkungen auf die Umwelt - Den Energieverbrauch von Streaming-Diensten wie YouTube und Spotify - Praktische Beispiele aus dem Arbeitsalltag, wie die Nutzung von Cloud-Services und die Optimierung von Websites - Tipps zur Verwendung von refurbished Hardware und ressourcenschonenden Programmierungstechniken - Katharina erklärt, wie Unternehmen ihren ökologischen Fußabdruck minimieren können und warum nachhaltige IT für sie persönlich so wichtig ist Von der Konzeption bis zur Programmierung, vom Hosting bis hin zu alltäglichen Handlungsempfehlungen – in diese Folge bekommt ihr Einblicke und Ideen für alle, die Green IT in ihre Arbeit integrieren möchten. Erfahrt mehr über nachhaltige Softwareentwicklung und wie ihr IT-Projekte umweltfreundlicher gestalten können. Hört rein! ÜBER KATHARINA Katharina leitet die IT bei hylane, einem Kölner Start-Up, das Wasserstofffahrzeuge in einem Pay-per-Use-Modell vermietet. Vorher hat sie 9 Jahre lang als Softwareentwicklerin und Data Engineer bei einem Wetterdienstleister gearbeitet. In ihrer Arbeit legt sie einen besonderen Fokus auf nachhaltige Unternehmens-IT und wird ihre Erfahrungen teilen. LINKS https://arxiv.org/pdf/2304.03271.pdf https://themarkup.org/hello-world/2023/04/15/the-secret-water-footprint-of-ai-technology https://stateof.greensoftware.foundation/en https://sre.google/sre-book/simplicity/#minimal-apis https://www.sustainablewebmanifesto.com https://climateaction.tech/community

Neste episódio mergulhamos no mundo da jornada e engenharia de dados e analytics com os especialistas do Itaú. Conheça as estratégias de dados que moldam o futuro do banco, além do compartilhamento de como é trabalhar em uma empresa onde a utilização intensiva de dados é essencial para tomar as melhores decisões. Neste episódio do Data Hackers — a maior comunidade de AI e Data Science do Brasil-, conheçam as pessoas que desempenham um papel crucial na infraestrutura de dados do Itaú: Priscila Militão — Data Engineer no Itaú Unibanco Vinicius Rio — Analista de Dados no Itaú Unibanco Thiago Panini — Analytics Engineer no Itaú Unibanco Carlos Vaccáro — Gerente de Analytics Engineering no Itaú Unibanco Prepare-se para uma imersão no futuro dos dados no Itaú e descubra como essas mentes brilhantes estão moldando o panorama financeiro global com insights poderosos. Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas. Caso queira, você também pode ouvir o episódio aqui no post mesmo! Nossa Bancada Data Hackers: Monique Femme — Head of Community Management na Data Hackers Paulo Vasconcellos — Co-founder da Data Hackers e Principal Data Scientist na Hotmart. Gabriel Lages — Co-founder da Data Hackers e Data & Analytics Sr. Director na Hotmart. Referências: Página da Vaga | Batalha de Dados — Engenharia de Dados e Analytics :https://vemproitau.gupy.io/jobs/7312897 Episódio Computação Quantica Itaú: https://medium.com/data-hackers/o-que-%C3%A9-computa%C3%A7%C3%A3o-qu%C3%A2ntica-data-hackers-podcast-84-0389a3b299ab --- Send in a voice message: https://podcasters.spotify.com/pod/show/datahackers/message

In high school he wanted to be a rapper. And that's what Jahmar Gale did for 10 years. But he had a plan: if he didn't achieve the kind of lifestyle he wanted by the time he was 30, he'd get out of the entertainment industry. So that's what he did.Listen in as Jahmar tells Jonaed about how he:Was a rapper for 10 yearsStarted and scaled 2 businessesBecame a data analyst earning between $75,000 and $90,000 per year Support/Contact Jahmar:https://www.linkedin.com/in/jahmargale/Books and resources mentioned in this podcast:Resume course: https://bit.ly/podcastpcaLeRon's article: https://medium.com/@jahmargale/how-i-became-a-data-analyst-458b03e438bbUdemy Course: https://www.udemy.com/course/the-complete-sql-bootcamp/ Need career or resume advice? Follow and/or connect with Jonaed Iqbal on LinkedIn.- LinkedIn: https://bit.ly/JonaedIqbalND Connect with us on social media!- LinkedIn: https://bit.ly/NoDegreeLinkedIn- Facebook: https://bit.ly/NoDegreeFB- Instagram: https://bit.ly/NoDegreeIG- Twitter: https://bit.ly/NoDegreeTW- TikTok: https://bit.ly/3qfUD2V Thank you for sponsoring our show. If you'd like to support our mission to end the stigma and economic disparity that comes along with not having a college degree, please share with a friend, drop us a review on Apple Podcast and/or subscribe to our Patreon: https://www.patreon.com/nodegree. Remember, no degree? No problem! Whether you're contemplating college or you're a college dropout, get started with your no-degree job search at nodegree.com.

If you've worked on data problems, you probably have heard of Airflow and Superset, two powerful tools that have cemented their place in the data ecosystem. Building successful open-source software is no easy feat, and even fewer engineers have done this back to back. In Part 1 of this conversation, we chat about how to adapt to the LLM-age as engineers.   Segments: (00:01:59) The Rise and Fall of the Data Engineer (00:11:13) The Importance of Executive Skill in the Era of AI (00:13:53) Developing the first reflex to use AI (00:17:47) What are LLMs good at? (00:25:33) Text to SQL (00:28:19) Promptimize (00:32:16) Using tools LangChain (00:35:02) Writing better prompts   Show Notes: - Max on Linkedin: https://www.linkedin.com/in/maximebeauchemin/ - Rise of the Data Engineer: https://medium.com/free-code-camp/the-rise-of-the-data-engineer-91be18f1e603 - Downfall of the Data Engineer: https://maximebeauchemin.medium.com/the-downfall-of-the-data-engineer-5bfb701e5d6b - Promptimize: https://github.com/preset-io/promptimize   Stay in touch:

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

Data engineers and data scientists must manage pipelines for unstructured data to ensure healthy inputs for language models. Published at: https://www.eckerson.com/articles/why-and-how-data-engineers-will-enable-the-next-phase-of-generative-ai

Zach Wilson, an industry virtuoso with experience as a data engineering leader at Facebook, Netflix, and Airbnb, pulls back the curtain on his journey through the world of data in our latest episode. With tales of his ascent from the ranks of Think Big Analytics to pioneering educational practices with DataEngineer.IO, Zach's narrative is a treasure trove for aspiring tech professionals. He not only demystifies the progression from data engineering to software engineering but also shares the trials of career elevation—all served with a hearty side of SQL and backend development insights.The conversation then shifts gears to the buzz around AI's role in data engineering. While LLMs like ChatGPT are adept at churning out SQL queries, Zach asserts that they haven't usurped the throne from human engineers just yet. Distilling the essence of stakeholder communication and conceptual data modeling, he reminds us that the human element is the linchpin in a landscape increasingly guided by algorithms. It's an eye-opening exploration of how AI might be the trusty sidekick, but data engineers—as the heroes of their own stories—still save the day with their indispensable human touch.Wrapping up, Zach takes us on a tour of the latest innovations shaping the data engineering domain. From analytical patterns to the significance of community within the data sphere, his enthusiasm for the field is infectious. The episode underscores the vital role of collective wisdom and personal experience in navigating the toolkits and methodologies of data engineering. So, buckle up for a ride with a mentor whose insights illuminate the path forward in the ever-evolving tech landscape.Follow Zach Wilson for his insights and educational material on Data EngineeringZach Wilson's Data Expert Academy - DataExpert.ioZach Wilson on Twitter Zach Wilson on LinkedInWhat'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.

No episódio de hoje Mateus Oliveira entrevistou Alessandro Gums (Analytics Engineer), Bruno Bento (Analytics Engineer) e Franklin Ferreira (Arquiteto de Dados), integrantes do time de dados da Clicksign. Analytics Engineer se tornou uma grande thread do mercado e também uma necessidade nas empresas de hoje. fazer o split das responsabilidades de uma determinada área é comum e isso tinha que acontecer na engenharia de dados, devido a complexidade dos processos e necessidades de especialistas.Neste bate papo iremos falar sobre:Analytics EngineerModelagem de Dados nas empresasEsse podcast tem como principal intuito mostrar o dia-a-dia dos Analytics Engineer nas empresas para que você, aspirante a esta área, entenda o exercicio da profissão na realidade.Além disso, queremos demonstrar o quanto esta profissão vem crescendo e expandindo em grandes empresas como Clicksign.Linkedin do time ClicksignFranklin Ferreira (Arquiteto de dados): https://www.linkedin.com/in/franklinfs390/Alessandro Gums (Analytics Engineer):https://www.linkedin.com/in/alessandro-gums/Bruno Bento (Analytics Engineer):https://www.linkedin.com/in/bruno-pereira-bento/ Luan Moreno = https://www.linkedin.com/in/luanmoreno/

Highlights from this week's conversation include:Kevin's background and work at Stripe (0:31)Evolution of Data Infrastructure at Stripe (2:18)Kevin's Interest in Data (5:29)Software Engineer or Data Engineer? (8:27)Speech Recognition Work at Amazon (11:06)Efficiency and Cost Management (15:50)Metadata and Query Analysis (18:38)Surprising Discoveries in Metadata Analysis (21:43)Optimizing Cost and Value (23:55)Product Sizing Stripe Data (26:39)Popular Tool for Data Interaction (30:08)Enabling Data Infrastructure Integration (35:22)Value of Data Pipelining for Stripe (39:32)Next Generation Product and Technology (43:54)Maximizing value in a decentralized environment (51:34)Future of open source projects in data infrastructure (57:59)Final thoughts and takeaways (59:02)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.

No episódio de hoje, Mateus Oliveira entrevistam Franklin Ferreira (Arquiteto de Dados) e Vinicius Gasparaini (Engenheiro de Dados), ambos integrantes do time de dados da Clicksign.Arquitetura de Dados & Engenharia de Dados, são áreas que estão ganhando muita tração nos últimos anos, entender como elas funcionam dentro de uma empresas data-driven é, não só um dos melhores metódos de estudo de mercado, como também escolha de qual caminho seguir.Neste bate papo iremos falar sobre:Arquiteturas de DadosEngenharia de DadosEsse podcast tem como principal intuito entender melhor como criar e evoluir arquiteturas de dados para melhor atender o negócio e como a engenharia de dados é usada dentro das grandes empresas, indo além de tecnologias e falando de metodologias e processos.Linkedin do time ClicksignFranklin Ferreira (Arquiteto de dados): https://www.linkedin.com/in/franklinfs390/Vinicius Gasparini (Engenharia de Dados): https://www.linkedin.com/in/vngasp/ (editado)  Luan Moreno = https://www.linkedin.com/in/luanmoreno/

Bret and Nirmal are joined by Lukas Fittl of pganalyze to dive into Postgres in containers, in production, and in CI.Lukas is an expert and founder of pganalyze, and I invited him on the show to explain a lot of this to us and catch us up with what's going on in the Postgres community, particularly when it comes to containers and production.We dive into everything around containers with Postgres, some of the new stuff going on in Postgres Land, including tuning and stuff I didn't even know about Postgres, including storing NoSQL data, vector databases for AI and more.Be sure to check out the live recording of the complete show from February 15, 2024 on YouTube (Ep. #254).★Topics★pganalyze websitepganalyze YouTube channel pgvector cloudnative-pg Crunch Postgres for Kubernetes CockroachDBCreators & Guests Bret Fisher - Host Lukas Fittl - Guest Nirmal Mehta - Host Cristi Cotovan - Editor Beth Fisher - Producer (00:00) - Intro (01:59) - Is Postgres Underrated? (04:18) - What is pgAnalyze? (05:02) - Database Performance Tuning (11:11) - Postgres in Containers (19:44) - Opinion on kubegres and other operators in managing HA (25:03) - The role of Database Administrators and Data Engineers (31:54) - Running Postgres HA across multi-cluster (39:23) - What does pgnalyze do? (44:45) - The hardest operational problem running Postgres in containers You can also support my free material by subscribing to my YouTube channel and my weekly newsletter at bret.news!Grab the best coupons for my Docker and Kubernetes courses.Join my cloud native DevOps community on Discord.Grab some merch at Bret's Loot BoxHomepage bretfisher.com

Anass Bensrhir is the Associate Partner of McKinsey & Company Casablanca. Anu Arora is the Principal Data Engineering at McKinsey & Company. Check out mckinsey.com/quantumblack MLOps podcast #214 with QuantumBlack AI by McKinsey's Principal Data Engineer, Anu Arora and Associate Partner, Anass Bensrhir, Managing Data for Effective GenAI Application brought to you by our Premium Brand Partner QuantumBlack AI by  @McKinsey . // Abstract Generative AI is poised to bring impact across all industries and business functions across industries While many companies pilot GenAI, only a few have deployed GenAI use cases, e.g., retailers are producing videos to answer common customer questions using ChatGPT. A majority of organizations are facing challenges to industrialize and scale, with data being one of the biggest inhibitors. Organizations need to strengthen their data foundations given that among leading organizations, 72% noted managing data among the top challenges preventing them from scaling impact. Furthermore, leaders noticed that +31% of their staff's time is spent on non-value-added tasks due to poor data quality and availability issues. // Bio Anu Arora Data architect(~12 years) and have experience in Big data technologies, API development, building scalable data pipelines including DevOps and DataOps, and building GenAI solutions. Anass Bensrhir Anass Leads QuantumBlack in Africa, he specializes in the Financial sector and helps organizations deliver successful large Data transformation programs. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links Website: https://www.mckinsey.com/capabilities/quantumblack/how-we-help-clients --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Anu on LinkedIn: https://uk.linkedin.com/in/anu-arora-072012 Connect with Anass on LinkedIn: https://www.linkedin.com/in/abensrhir/ Timestamps: [00:00] Anass and Anu's preferred coffee [00:35] Takeaways [04:02] Please like, share, leave a review, and subscribe to our MLOps channels! [04:09] Huge shout out to our sponsor QuantumBlack! [04:29] Anu's tech background [06:31] Anass tech background [07:28] The landscape of data [10:37] Dealing with unstructured data [15:51] Data lakes and ETL processes [22:19] Data Engineers' Heavy Workload [29:49] Data privacy and PII in the new LLMs paradigm [36:13] Balancing LLM Adoption Risk [44:06] Effective LMS Implementation Strategy [49:00] Decisions: Create or Wait [50:39] Wrap up

More Powerful than a Brain Injury...Early in his career Umang Modi, now Managing Principal & Chief Strategy Officer at TIAG®, had a personal tragedy right after he was hired.He had a one-year baby at home and no back up plan.They could have fired him.Instead the company did something powerful…AND…15 years later he's an executive leading hundreds……in the same company.…driving change on the most important initiatives for his customer, The Department of Defense.He reveals the inspiring moves the organization made to save his career, instill loyalty, and secure the future of the company.It's as close to going “ALL OUT” as I've seen.Umang on LinkedIn: https://www.linkedin.com/in/umangjmodi/TIAG website: https://tiag.net/—----TIAG stands for The Informatics Applications Group, Inc. and they provide transformative technology solutions for the public sector and across the Department of Defense. Umang began his career at TIAG as a senior-systems engineer and lead solutions architect analyst and over 15 years worked his way to the C-Suite..He provides insights on technology trends, innovation, leadership, and digital modernization across the public and private sectors as a contributing writer to Newsweek. —-You'll also discover…The Strategy to Foster Team Loyalty that Lasts Forever.A Data Engineer's 15-Year Climb to the C-Suite.How to Bring the Entrepreneurial Mindset to Unlikely Environments.The Town Hall Hack to Boost Motivation.A Vital Project to Support the Biggest Healthcare Provider in the World.His First Job and How It Still Influences His Leadership Today.A Colorful Story of When Someone Quit.The Failure that Accelerated his Growth.-----Connect with the Host, #1 bestselling author Ben FanningSpeaking and Training inquiresSubscribe to my Youtube channelLinkedInInstagramTwitter

On this episode of The Data Chief, Katie Russell, Data Director at OVO Energy shares OVO's transformative journey to become a sustainable energy leader, emphasizing the shift to Google Cloud Platform and a data mesh strategy. The discussion covers OVO's innovative use of generative AI, measuring success through customer savings, and the ongoing challenge of fostering a data-driven culture.Key Moments: OVO's mission and data support [1:05]Data transformation [7:37]Technology modernization [11:17]Data discoverability and data mesh [17:28]Measuring business contribution [22:03]Generative AI and data privacy [27:56]Data-driven culture and trust [30:51]Key Quotes: "We chose Google Cloud Platform as our underlying data platform with BigQuery then as the data warehouse. The thesis being that they practically invented the technology and so should be good at it." “My job is to represent my team, make sure that we're working on the right things, and then, build  trust with the leadership community that we're doing the right things with data for the business.”"I'm thinking that there might actually be a bit of a full circle on data privacy and sharing. I think with ChatGPT being so easy to use with its really human-centered design and with social media ups and downs over the last few years, I'm wondering if there's going to be a revolution in data privacy and data sharing and personal data." Mentions: SQL buddies programPython programGoogle CloudBigQueryMonte CarloAtlanSnowflakeHightouchGenerative AIChatGPTBio: Katie Russell is the Data Director at OVO Energy, leading teams of Data Scientists, Data Engineers and Analysts who are transforming OVO's data capability. As part of a technology led business, leveraging data using artificial intelligence keeps OVO truly innovative, delivering the best possible service for our customers. Katie joined OVO in October 2017 having spent 5 years at ONZO - an energy analytics startup  - as Head of Data Science. During that time she was chuffed to be awarded Big Data Hero by techUK in June 2016 and helped ONZO win multiple awards for their innovative solutions for utilities. Prior to that Katie worked for another analytics start up in the water industry, got a PhD in Mathematical Physics and holds a BA and MMath from the University of Cambridge. 

No episódio de hoje, Luan Moreno & Mateus Oliveira entrevistaram Thiago Rocha (Scrum Master), Marco Coimbra (Data Product Manager), José Ivamotto (Head de Dados) e Franklin Ferreira (Arquiteto de Dados), integrantes do time de dados da Clicksign.Gestão & Dados com Produto são tópicos extremamente relevantes nos dias de hoje.Falar sobre dados sem se preocupar com a gestão, pode trazer impactos negativos às entregas envolvendo dados nas organizações.Além disso, entender como as empresas vem produzindo dados é um excelente benchmarking para inovações.Neste bate papo iremos falar sobre:Dados como Produto;Times de dados;Gestão de Dados.O principal objetivo deste episódio é mostrar como as empresas estão tratando esses tópicos no cotidiano.Não apenas no nível técnico e gerencial, mas também com a visão de todos os envolvidos, Scrum Master e DPM (Data Product Manager).Linkedin do time ClicksignThiago Rocha (Scrum Master): https://www.linkedin.com/in/thiago-rocha98/Marco Coimbra (Data Product Manager): https://www.linkedin.com/in/marcoantoniocoimbrafilho/Jose Ivamotto (Head de dados): https://www.linkedin.com/in/jose-ivamotto/Franklin Ferreira (Arquiteto de dados): https://www.linkedin.com/in/franklinfs390/ Luan Moreno = https://www.linkedin.com/in/luanmoreno/

In this week's episode, Jon is joined by Tim Castillo, Data Engineer and Developer Advocate for Dagster Labs. Tim is a technology enthusiast and expert with a strong foundation in computer science and data engineering. Carving out his career trajectory in the bustling tech community of the 2010s, he comes with an arsenal of experience shaped by early massive open online courses. In this episode, we get to hear about Tim's journey from college undergraduate to tech advocate, sharing insightful strategies for upskilling technologists and building adaptable, robust tech communities.

In this episode you will hear:   (10:02) Dave and Mark discuss, “Recruiting to Campuses Far, Far Away” Demographic shifts and funding woes have led a diverse and growing array of colleges to hire recruiters who live and work hundreds of miles from campus. Is it worth it? By Liam Knox, November 28th, 2023   (43:14) Julia and Mark answer a question from a mom who wants to know, if her student doesn't take four years of the same language, is she dead on arrival at highly selective colleges.    (01:04:40) Mark interviews Dan and Mary LaChance about the incredible opportunities that exist in cybersecurity careers. Dan is a cybersecurity major at Rochester Institute of Technology and Mary is a Data Engineer that works in the field of cyber insurance. Listeners will learn about the incredible opportunities that exist right now in cyber-security.    Preview-Part 2 §  Dan talks about other schools with an undergraduate cybersecurity degree. §  Mary debunks the notion that you need to go to an uber-selective college to be in demand for cybersecurity and she mentions an area where it can even be an advantage to not go to the most selective schools in some instances. §  Dan mentions some other college majors other than cybersecurity that can lead to cybersecurity jobs.   §  Mary shares advice on how a student can know if cybersecurity is for them. §  Dan and Mary talk about their favorite podcast for those who are interested in cybersecurity. §  Dan and Mary talk about the skillset you need to excel in a career in cybersecurity. §  Dan talks about the courses that are required for the degree. §  Mary about ethics and cybersecurity §  Mary talks about what looks for when she hires people in data security. §  Dan talks about another important skill he feels a graduate needs to really be successful in the field. §  Mary shares what to look for when looking for a college that is strong in cybersecurity. §  Mary talks about the importance of cybersecurity clubs. §  Mary and Dan talk about cyber security competitions.   (01:13:48) Recommended Resource- wyzant.com, the nations largest source of tutors, over 65,000 tutors in over 300 subjects   (01:25:15) College Spotlight: Illinois Institute of Technology Part 2 of 2 https://www.iit.edu/   Speakpipe.com/YCBK is our method if you want to ask a question and we will be prioritizing all questions sent in via Speakpipe.   You can also use this for many other purposes: 1) Send us constructive criticism about how we can improve our podcast 2) Share an encouraging word about something you like about an episode or the podcast in general 3) Share a topic or an article you would like us to address 4) Share a speaker you want us to interview 5) Leave positive feedback for one of our interviewees. We will send your verbal feedback directly to them and I can almost assure you, your positive feedback will make their day. If you have a question for one of our upcoming interviews with admissions professionals, here is a list of admissions professionals who we will interview in 2023 or 2024 Confirmed interviews not yet completed Bard-Mackie Siebens Rice University-Tamara Siler American University-Andrea Felder Pitzer College-Yvonne Berumen Chapman University-Marcela Meija-Martinez Connecticut College-Andy Strickler* Trinity College-Anthony Berry* College of the Atlantic-Heather Albert* Spelman College-Chelsea Holley* Scripps College-Victoria Romero* Saint Louis University-Daniel Wood-(Interview is about transfer admissions, Daniel is a transfer counselor) Colby College-Randi Arsenault* University of Georgia-David Graves* University of Georgia-Andy Borst Cornell University-Jonathon Burdick Oberlin College-Manuel Carballo Carleton College-Art Rodriguez Swarthmore-Jim Bok Joy St. Johns-Harvard Duke-Christoph Guttentag Florida State-John Barnhill Southern Methodist University-Elena Hicks Johns Hopkins-Calvin Wise Cornell University-Shawn Felton Haverford College-Jess Lord UAspire-Brendan Williams Yale University-Moira Poe Bard College Baylor University Butler University California Institute of Technology-Ashley Pallie Colorado School of Mines Creighton University University of Puget Sound- Robin Aijian Belmont University University of Tennessee-Knoxville Law School Admissions interview-Lydia Emory University-Sarbeth Fleming   To sign up to receive Your College-Bound Kid PLUS, our new monthly admissions newsletter, delivered directly to your email once a month, just go to yourcollegeboundkid.com, and you will see the sign-up popup.   Check out our new blog. We write timely and insightful articles on college admissions:   Follow Mark Stucker on Twitter to get breaking college admission news, and updates about the podcast before they go live. You can ask questions on Twitter that he will answer on the podcast. Mark will also share additional hot topics in the news and breaking news on this Twitter feed. Twitter message is also the preferred way to ask questions for our podcast:   https://twitter.com/YCBKpodcast   1. To access our transcripts, click: https://yourcollegeboundkid.com/category/transcripts/ 2. Find the specific episode transcripts for the one you want to search and click the link 3. Find the magnifying glass icon in blue (search feature) and click it 4. Enter whatever word you want to search. I.e. Loans 5. Every word in that episode when the words loans are used, will be highlighted in yellow with a timestamps 6. Click the word highlighted in yellow and the player will play the episode from that starting point 7. You can also download the entire podcast as a transcript   We would be honored if you will pass this podcast episode on to others who you feel will benefit from the content in YCBK.   Please subscribe to our podcast. It really helps us move up in Apple's search feature so others can find our podcast.   If you enjoy our podcast, would you please do us a favor and share our podcast both verbally and on social media? We would be most grateful!   If you want to help more people find Your College-Bound Kid, please make sure you follow our podcast. You will also get instant notifications as soon as each episode goes live.   Check out the college admissions books Mark recommends:   Check out the college websites Mark recommends:   If you want to have some input about what you like and what you recommend, we change about our podcast, please complete our Podcast survey; here is the link:     If you want a college consultation with Mark or Lisa or Lynda, just text Mark at 404-664-4340 or email Lisa at or Lynda at Lynda@schoolmatch4u.com. All we ask is that you review their services and pricing on their website before the complimentary session; here is link to their services with transparent pricing: https://schoolmatch4u.com/services/compare-packages/

In this episode you will hear:   (02:14) Julia and Mark discuss a blog article that appeared in College Vine entitled, “Deferred or Waitlisted? How to Write a Letter of Continued Interest. The article was written by 7/28/2023 and it was written by Varun Srinivasan. Julia and Mark share what they agree with and what they disagree with in the article. Part 2 of 2      (28:12) Lisa and Mark answer a question from an anonymous listener in California who wants to know, how can you tell which colleges are “overlap colleges” for other colleges.    (49:06) Mark interviews Dan and Mary LaChance about the incredible opportunities that exist in cybersecurity careers. Dan is a cybersecurity major at Rochester Institute of Technology and Mary is a Data Engineer that works in the field of cyber insurance.    Preview-Part 1 §  Dan talks about how he used summer programs to confirm his interest in cybersecurity. §  Dan shares all the branches or options you can select from within cybersecurity. §  Mary is a data engineer who works with cyber-insurance, and she shares the changes she is seeing in the job market §  Dan shares how he picked a college, given his strong interest in cybersecurity §  Mary explains what she was §  Mary and Dan talk about the compensation cybersecurity grads are getting, right out of college. §  Mary talks about the government grant opportunities that are available in cybersecurity §  Dan talks about how coop opportunities works at RIT, and he talks about the compensation for co-ops jobs in their first year and in their second year.   (01:01:50) Recommended Resource- Gen-cyber is a tremendous resource for finding experiential resources to help high school students explore cybersecurity opportunities. Most of these resources are free.   (01:14:45) College Spotlight: Illinois Institute of Technology Part 1 of 2 https://www.iit.edu/   Speakpipe.com/YCBK is our method if you want to ask a question and we will be prioritizing all questions sent in via Speakpipe.   You can also use this for many other purposes: 1) Send us constructive criticism about how we can improve our podcast 2) Share an encouraging word about something you like about an episode or the podcast in general 3) Share a topic or an article you would like us to address 4) Share a speaker you want us to interview 5) Leave positive feedback for one of our interviewees. We will send your verbal feedback directly to them and I can almost assure you, your positive feedback will make their day. If you have a question for one of our upcoming interviews with admissions professionals, here is a list of admissions professionals who we will interview in 2023 or 2024 Confirmed interviews not yet completed Bard-Mackie Siebens Rice University-Tamara Siler American University-Andrea Felder Pitzer College-Yvonne Berumen Chapman University-Marcela Meija-Martinez Connecticut College-Andy Strickler* Trinity College-Anthony Berry* College of the Atlantic-Heather Albert* Spelman College-Chelsea Holley* Scripps College-Victoria Romero* Saint Louis University-Daniel Wood-(Interview is about transfer admissions, Daniel is a transfer counselor) Colby College-Randi Arsenault* University of Georgia-David Graves* University of Minnesota-Keri Risic Cornell University-Jonathon Burdick Oberlin College-Manuel Carballo Carleton College-Art Rodriguez Swarthmore-Jim Bok Joy St. Johns-Harvard Duke-Christoph Guttentag Florida State-John Barnhill Southern Methodist University-Elena Hicks Johns Hopkins-Calvin Wise Cornell University-Shawn Felton Haverford College-Jess Lord UAspire-Brendan Williams Yale University-Moira Poe Bard College Baylor University Butler University California Institute of Technology-Ashley Pallie Colorado School of Mines Creighton University University of Puget Sound- Robin Aijian Belmont University University of Tennessee-Knoxville Law School Admissions interview-Lydia Emory University-Sarbeth Fleming   To sign up to receive Your College-Bound Kid PLUS, our new monthly admissions newsletter, delivered directly to your email once a month, just go to yourcollegeboundkid.com, and you will see the sign-up popup.   Check out our new blog. We write timely and insightful articles on college admissions:   Follow Mark Stucker on Twitter to get breaking college admission news, and updates about the podcast before they go live. You can ask questions on Twitter that he will answer on the podcast. Mark will also share additional hot topics in the news and breaking news on this Twitter feed. Twitter message is also the preferred way to ask questions for our podcast:   https://twitter.com/YCBKpodcast   1. To access our transcripts, click: https://yourcollegeboundkid.com/category/transcripts/ 2. Find the specific episode transcripts for the one you want to search and click the link 3. Find the magnifying glass icon in blue (search feature) and click it 4. Enter whatever word you want to search. I.e. Loans 5. Every word in that episode when the words loans are used, will be highlighted in yellow with a timestamps 6. Click the word highlighted in yellow and the player will play the episode from that starting point 7. You can also download the entire podcast as a transcript   We would be honored if you will pass this podcast episode on to others who you feel will benefit from the content in YCBK.   Please subscribe to our podcast. It really helps us move up in Apple's search feature so others can find our podcast.   If you enjoy our podcast, would you please do us a favor and share our podcast both verbally and on social media? We would be most grateful!   If you want to help more people find Your College-Bound Kid, please make sure you follow our podcast. You will also get instant notifications as soon as each episode goes live.   Check out the college admissions books Mark recommends:   Check out the college websites Mark recommends:   If you want to have some input about what you like and what you recommend, we change about our podcast, please complete our Podcast survey; here is the link:     If you want a college consultation with Mark or Lisa or Lynda, just text Mark at 404-664-4340 or email Lisa at or Lynda at Lynda@schoolmatch4u.com. All we ask is that you review their services and pricing on their website before the complimentary session; here is link to their services with transparent pricing: https://schoolmatch4u.com/services/compare-packages/

No episódio de hoje, Luan Moreno e Mateus Oliveira entrevistaram Aron Willians, atualmente como Community Manager/ Developer Advocate na Ampare. Aaron é apaixonado por trazer novas tecnologias para desenvolvedores atuais e para a próxima geração, por meio de hacking e treinamento prático. Neste podcast, você vai aprender sobre: Desafios na construção da comunidade de código aberto; Visão gerencial de comunidades de dados;Empresas que estão investindo no impulsionamento do Pulsar.Falamos também nesse bate-papo sobre os seguintes temas:Tecnologia como Kuberbetes; Apache Pulsar.Aprenda mais sobre as comunidades de dados e sobre as principais tecnologias do Mercado.Ararob Willians= https://www.linkedin.com/in/aaron-don-williams/ Luan Moreno = https://www.linkedin.com/in/luanmoreno/

No episódio de hoje, Luan Moreno e Mateus Oliveira entrevistam Ivan Lima, atualmente Director of Machine Learning & Data Engineering no Ifood.Ifood é uma das maiores empresas do Brasil e, claro, leva o assunto sobre dados muito a serio. Imagine receber diversos dados do aplicativo, além de possuir várias sessões analíticas e dados em alto volume.Neste podcast, conversamos sobre:Desafios na área de dados de grandes corporações;Visão gerencial.Falamos também sobre os seguintes temas:Mercado de trabalho no Brasil em 2022;Tecnologias usadas dentro do Ifood;Softskills;Gestão de times de dados.Aprenda mais sobre como as empresas estão lidando com o desafio de dados internamente, principalmente de grande porte como Ifood.Ivan Lima = Linkedin Luan Moreno = https://www.linkedin.com/in/luanmoreno/

No episódio de hoje, Luan Moreno e Mateus Oliveira entrevistam Brian Olsen, atualmente Head of Developer Relations na Tabular.Trino é um produto open-source, para virtualizar os dados através de queries. Imagine uma engine de SQL capaz de consultar dados do Apache Kafka, Cloud Storage, Databases e diversas outras fontes de forma simples e extremamente eficaz. Com Trino, você tem os seguintes benefícios:Diversos conectores para múltiplas fontes de dadosGerar queries analytics de forma simples e eficazTrabalhar com modelos de Lakehouse como Iceberg e DeltaFalamos também neste bate-papo sobre os seguintes temas:História do TrinoCapacidades do TrinoRecursos avançados Novas featuresAdaptive Query ExecutionCasos de UsoAprenda mais sobre Trino, e como utilizar esta tecnologia para explorar os dados em diversas fontes diferentes, junto com um dos principais vozes da comunidade. Brian Olsen Luan Moreno = https://www.linkedin.com/in/luanmoreno/