All Episodes

Monday Morning Data Chat - The Finale!

#185 - Paco Nathan - AI Myths and Reality

#184 - Weimo Liu - Iceberg for SQL and NoSQL

#182 - Ricky Thomas and Paul Dudley - Streaming CDC and More

#181 - Andrew Ng - Why Data Engineering is Critical to Data-Centric AI

#180 - Ghalib Suleiman - Open Q&A + Data Stacks, Open Table Formats, and More

#179 - Tevje Olin - What Should Data Engineers Focus On?

#178 - Rob Harmon - Rob Harmon - Small Data, Efficiency, and Data Modeling

#177 - Joe Reis & Matt Housley - Return of the Show!

#176 - Nick Schrock and Wes McKinney - Composable Data Stacks, Open Table Formats, and More

#175 - Zhamak Dehghani + Summer Break 2024 Episode

#174 - Ghalib Suleiman - The Zero-Interest Rate Hangover in Data and AI

#173 - Bart Vandekerckhove - Data Security Deep Dive

#172 - Yali Sassoon - Using LLMs to Support the Analytics Workflow

#171 - David Yaffe & John Kutay - The State of Streaming and Change Data Capture

#170 - Solomon Kahn - Customer-Facing Data Products, Why A/B Testing is a Waste of Time, and More

#169 - Katharine Jarmul - Are We Solving the "Right" Problems with AI?

#168 -Cedric Chin & Sam Taylor - Communicating Sophisticated Stuff to Stakeholders

#167 - Martin Musiol - Generative AI: Navigating the Course to the AGI Future

#166 - Tony Baer - The Outlook for Generative AI in 2024 (and Beyond)

#165 - Ethan Aaron - Is Data a Job or a Skill?

#164 - Jean-Georges Perrin - Data Mesh, Data Contracts, Modern Data Engineering Standards, Bitol, and More

#163 - Joe Reis and Matt Housley - The Demise of the Modern Data Stack & Listener Q&A

#162 - Scott Taylor - Explaining "Value" to the Business

#161 - Michel Tricot - AI's Impact on Traditional Data Practices and More!

#160 - Benn Stancil - 2024 Predictions, GenAI and Product Development, etc

#159 - Dave Langer - Python in Excel, Data Science without "Data Scientists"

#158 - Joe Reis & Matt Housley - Ask Us Anything

#157 - Alex Gallego - The Streaming Data Renaissance, Open Formats, More

#156 - Mike Ferguson - Top Key Trends in Data Management and Analytics

#155 - Tristan Handy - Data Ecosystems, Moats, Semantic Layers, and More

#153 - Sarah Nagy - Automating Analytics with Generative AI

#152 - Dave McComb - Knowledge Graphs, Semantics, and More

#151 - Kai Zenner - The EU AI Act

#150 - Nadine Farah - Apache Hudi Deep Dive

#149 - Why is Data Security so Hard? w/ Yoav Cohen

#148 - Data Conference Recap (Coalesce, Gitex Dubai, DEWCon) w/ Kevin Hu

#147 - Data Warehouses and Semantics Deep Dive, SDF, and more w/ Lukas Schulte (SDF)

#146 - Improving Your Health and Wellness - Techie Edition w/ Colleen Fotsch

#145 - Data Engineering AMA w/ Matt Housley and Joe Reis

#144 - Data Career Advice w/ Matt Housley, Chris Tabb, and Joe Reis

#143 - The Future of Generative AI in Data Analytics w/ Amit Prakash

#142 - Incentivizing Devs to Pursue Open-Source Projects w/ Max Howell

#141 - Data Vendors and Grifters w/ Aaron Hunsaker

#140 - The Power of 3 (Math Nerds, Professors, and Authors) w/ Hala Nelson

#139 - Streaming Data Processing Deep Dive w/ David Yaffe and Johnny Graettinger (Estuary)

#138 - The Rise and Importance of Business Language w/ John O'Gorman

#137 - Why Apache Iceberg Won the Table Format War, Data Mesh, and More w/ Brian Olsen

#136 - Programming Languages for Data Science, and Why Your BI Team is Your Best Bet for Data Science w/ Dave Langer

#135 - Dataframe Deep Dive w/ Devin Petersohn

#134 - Should Your Business Chase Generative AI? w/ Andreas Welsch

#133 - Intro to Data Contracts w/ Andrew Jones

#132 - Data Collaboration From the Outside-In w/ Andrew Padilla

#131 - The Importance of Actionable Data to Inform Decision-Making w/ Joe Perez

#130 - Data Modeling in 2023 w/ Colin Zima

#129 - Putting Data Products at the Center of Data Management w/ Saket Saurabh

#128 - Big & Small Data in 2023 w/ Joe Reis & Matt Housley

#127 - Product Management as a Data Scientist w/ Santona Tuli

#126 - Data Virtualization Hot Takes w/ Brian Olsen

#125 - The Art of Developer Relations w/ Tim Berglund

#124 - The Rise of the Semantic Layer in the Modern Data Stack w/ Dave Mariani

#123 - Semantic Layers w/ Artyom Keydunov & Pavel Tiunov (Cube.dev)

#122 - Data Product Management w/ Malcolm Hawker

#121 - It's Joe & Matt! - Random Grab Bag Episode

#120 - How Data Modeling Relates to Data Engineering w/ Larry Burns

#119 - Upskilling in a Downturn, Tech Education, Publishing a Tech Book, and More w/ Jess Haberman

#118 - Unlocking the Value of Unstructured Data with AI w/ Cody & Will (Coactive.ai)

#117 - Designing Massive Distributed Systems at LinkedIn w/ Felix GV

#116 - Calling Data Bullsh*t w/ Rogier Werschkull

Matt Turck's Gone MAD! - The 2023 ML, AI, and Data (MAD) Landscape

#115 - Building Data Infrastructure w/ Neelesh Salian

#114 - How to Write a Best-Selling O'Reilly Technical Book w/ Joe Reis & Matt Housley

#113 - Random Data Grab Bag w/ Scott Taylor

#112- Real-time Analytics at Massive Scale w/ Venkat Venkataramani

Data Catalogs - A Debate w/ Shirshanka Das & Ananth Packkildurai - Special Episode

#111 - Streaming Data In the Enterprise w/ John Kutay

#110 - Data Quality - The Hard Parts w/ Jeremy Stanley (Anomalo)

What's Next, with Zhamak Dehghani (Next Data) - Special Episode

#109 - ColorWise, Content Creation, and More w/ Kate Strachnyi

#108 - Switching From a Batch to Streaming Mindset w/ Chip Huyen

#107 - Data Modeling, Writing books, and More w/ Serge Gershkovich

#106 - Moving on from the Modern Data Stack w/ Sarah Catanzaro

#105 - The Future of Data Catalogs w/ Ole Olesen-Bagneux

#104 - Our Worst Episode Ever! - Grab Bag Q&A w/ Matt Housley and Joe Reis

#103 - How Current Market Conditions Affect the Data and Tech Landscape w/ Sanjeev Mohan

Data Mesh, The Hard Parts AMA w/ Zhamak Dehghani - Special Episode

#102 - Boring Tech is Exciting! w/ Jeremiah Lowin (Prefect)

#101 - Honest No-BS Data Modeling w/ Juan Sequeda

#100 - The Intersection of Software Engineering & Data w/ Sonny Rivera (ThoughtSpot)

#99 - Dealing with Dirty Data and Data Hubris w/ Jessica Talisman

#98 - Delivering a Data Strategy that Scales w/ Samir Sharma (datazuum)

#97 - Why Data will be Mobile w/ Zack Hendlin (Zing Data)

Business Data Modeling w/ Vijay Yadav (Merck) - Special Episode

#96 - Building a Data Mesh in the Real World w/ Omar Khawaja (Roche)

#95 - Keith McCormick Turns the Tables and Interviews Us!

#94 - How Not to Make a Mess of Your Data Mesh w/ Kent Graziano

Preparing For a Fast(er)-Moving Data Industry w/ Milan Veverka - Friday Episode

Data Contract Battle Royale w/ Chad Sanderson vs Ethan Aaron - Special Episode

#93 - Post-COVID data scenes, The Meetup Winter, and more...

#92 - Data Mesh and the Modern Data Stack w/ Colleen Tartow (Starburst)

The Knowledge-First Data World w/ Juan Sequeda and Tim Gasper (data.world) - Friday Episode

#91 - Making Statistics Fun for the Masses w/ Josh Starmer (StatQuest)

Thoughtful Data Modeling and Architecture w/ Veronika Durgin - Friday Episode

#90 - Managing Data Teams w/ Emily Hawkins

#89 - Managing Cloud Native Data on Kubernetes w/ Patrick McFadin

Improving the Modern Data Stack w/ Gleb Mezhanskiy (CEO @ Datafold) - Special Episode

#88 - Data Mesh, Data Lakes, and More w/ Justin Borgman (CEO @ Starburst)

Fundamentals of Data Engineering - Book Chat w/ Matt Housley and Joe Reis - Special Friday Episode

#87 - Challenges of Working With Data Lakes w/ Adi Polak (Treeverse)

The Great Startup Downturn of 2022 w/ Jon "Natty" Natkins - Special Friday Episode

Continuously Improving ML-Powered Products w/ Josh Tobin (Gantry) - Special Episode

#86 - Data Scientists Need to Write Better Code w/ Laszlo Sragner (Hypergolic)

Winning with IT in a Very Uncertain Environment w/ Niel Nickolaisen - Special Episode

#85 - Is the Modern Data Stack Dead? w/ Ethan Aaron (Portable)

#84 - High-Performing Data Teams w/ Jesse Anderson

#83 - Data Reliability Engineering w/ Egor Gryaznov (CTO @ Bigeye)

What's Next for Analytical Databases? w/ Jordan Tigani (MotherDuck) - Special Episode

Modern Data Discovery w/ Shinji Kim (SelectStar) - Special Episode from TGIF, Let's Talk Data!

#82 - Data Contracts & Domain Ownership w/ Ananth Packkildurai

#81 - Modern data products, data warehousing, and more w/ Bill Inmon & Chad Sanderson

Data Career Advice for Economic Downturns w/ Ken Jee & Chris Tabb - Special Episode

#80 - Moving Beyond Batch Analytics w/ Arjun Narayan (Materialize)

#79 - Data Transformations in 2022 w/ Armon Petrossian & Satish Jayanthi (Coalesce.io)

Data Mesh w/ Zhamak Dehghani (Founder of the Data Mesh) - Special Episode

#78 - Data Warehousing in 2022, Textual ETL, and More w/ Bill Inmon

#77 - The Types of Work a Data Team Does w/ Emilie Schario

#76 - Creating new Data Engineering Talent in a Tight Job Market

#75 - What's next after the Modern Data Stack?

#74 - Future Tech w/ Greg Coquillo (2X LinkedIn Top Voice)

#73 - Metrics Layers, The Modern Data Stack, and Disagreements in the Data Space w/ Benn Stancil (Mode)

#72 - Synthetic Data w/ Fabiana Clemente (YData)

#71 - Data Observability Driven Development w/ Andy Petrella (Kensu)

#70 - Real-Time Analytics and Modern Data Apps w/ Shruti Bhat (Rockset)

#69 - I Love Data! - Valentine's Day Special w/ Scott Taylor

#68 - Data Governance in 2022 w/ George Firican (LightsOnData)

#67 - Data Mesh, Data Fabric, and more w/ Bruno Aziza (Google Cloud)

#66 - Learn Data Engineering w/ Andreas Kretz

#65 - How to Become a Customer Data Champion w/ Matt Siomra

#64 - Data Observability Trends in 2022 w/ Kevin Hu (Metaplane)

#63 - Kicking off 2022 w/ Ben Rogojan (The Seattle Data Guy)

#62 - Data Engineering vs ML Engineering

#61 - 2021 Recap, and our 2022 Data Predictions

#60 - Data Engineering Hiring Challenges in 2022 - "Build or Buy?"

#59 - Review of AWS re:Invent + WTF is wrong w/ Data Science Right Now?

#58 - Metadata + Data Catalogs w/ Pardhu Gunnam & Mars Lan (Metaphor)

#57 - Career Advice w/ Chris Tabb - Live From Boston!

#56 - Data Engineer Career Advice w/ Ben Rogojan (The Seattle Data Guy)

#55 - How To Get A Job as an Analyst, w/ Al Bellamy

#54 - Master Data w/ "The Data Whisperer" Scott Taylor (Meta Meta Consulting)

#53 - Data Quality & Data Observability w/ Josh Benamram (CEO of Databand)

#52 - ML and Data Observability w/ Andy Dang (WhyLabs)

#51 - Data Observability w/ Lior Gavish (Monte Carlo)

#50 - Review of Matt Turck's 2021 Machine Learning, AI and Data (MAD) Landscape

#49 - Tips for Communicating with Stakeholders

#48 - A Discussion on Multi-Cloud

#47 - The Undercurrents of Data Engineering

#46 - Data Engineering Hiring & Retention in Late 2021

#45 - The Dysfunctions of Data Engineering w/ Felix Eggert (Special Guest)

#44 - The Data Engineering Lifecycle

#43 - Data Career Advice w/Avery Smith (special guest)

#42 - The Return of Andreas Kretz (Special Guest)

#41 - Where is Data Engineering Going?

#40 - Cloud Certification Discussion

#39 - Jordan Goldmeier (special guest, author of "Becoming a Data Head")

#38 - SQL or NoSQL in 2021? (Archive episode)

#37 - Andreas Kretz (special guest)

#36 - Our Thoughts on the Data Engineering Manifesto

#35 - What software engineering skills should a data engineer have?

#34 - Tips to Improve Data Engineer & Data Scientist Communication

#33 - Potemkin Data Engineering

#32 - Metadata-First Architecture (uncut version)

#31 - Let's Talk Data Engineering - Live Q&A on LinkedIn Live & YouTube

#30 - The State Of Data Engineering in 2021 (article review)

#29 - Cloud Data Warehouse Anti-Patterns

#28 - The Open Data Ecosystem

#27 - Should You Go To Graduate School For A Data Career?

#26 - Data Engineering Portfolio Projects

#25 Is The Cloud A Fad? + Listener Q&A (LinkedIn Live)