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Monday Morning Data Chat

En podcast av: Ternary Data

Every Monday morning, two data nerds - Matt Housley and Joe Reis - have candid and unscripted chats about data.

Our American listeners can also listen to Monday Morning Data Chat at our American site

180 Avsnitt

Monday Morning Data Chat - The Finale!
Publicerades 2024-11-04

#185 - Paco Nathan - AI Myths and Reality
Publicerades 2024-10-22
#184 - Weimo Liu - Iceberg for SQL and NoSQL
Publicerades 2024-10-14
#183 - Matthew Mullins - Bridging the Gap Between Data Engineers and Analysts, and More
Publicerades 2024-10-07
#182 - Ricky Thomas and Paul Dudley - Streaming CDC and More
Publicerades 2024-09-30
#181 - Andrew Ng - Why Data Engineering is Critical to Data-Centric AI
Publicerades 2024-09-16
#180 - Ghalib Suleiman - Open Q&A + Data Stacks, Open Table Formats, and More
Publicerades 2024-09-10
#179 - Tevje Olin - What Should Data Engineers Focus On?
Publicerades 2024-08-27
#178 - Rob Harmon - Rob Harmon - Small Data, Efficiency, and Data Modeling
Publicerades 2024-08-19
#177 - Joe Reis & Matt Housley - Return of the Show!
Publicerades 2024-08-13
#154 - Sol Rashidi - Getting Business Value From Data, the CXO playbook, AWS ReInvent, and more
Publicerades 2024-08-13
#176 - Nick Schrock and Wes McKinney - Composable Data Stacks, Open Table Formats, and More
Publicerades 2024-07-09
#175 - Zhamak Dehghani + Summer Break 2024 Episode
Publicerades 2024-06-12
#174 - Ghalib Suleiman - The Zero-Interest Rate Hangover in Data and AI
Publicerades 2024-05-14
#173 - Bart Vandekerckhove - Data Security Deep Dive
Publicerades 2024-05-08
#172 - Yali Sassoon - Using LLMs to Support the Analytics Workflow
Publicerades 2024-05-02
#171 - David Yaffe & John Kutay - The State of Streaming and Change Data Capture
Publicerades 2024-04-22
#170 - Solomon Kahn - Customer-Facing Data Products, Why A/B Testing is a Waste of Time, and More
Publicerades 2024-04-16
#169 - Katharine Jarmul - Are We Solving the "Right" Problems with AI?
Publicerades 2024-04-09
#168 -Cedric Chin & Sam Taylor - Communicating Sophisticated Stuff to Stakeholders
Publicerades 2024-04-02
#167 - Martin Musiol - Generative AI: Navigating the Course to the AGI Future
Publicerades 2024-03-26
#166 - Tony Baer - The Outlook for Generative AI in 2024 (and Beyond)
Publicerades 2024-03-19
#165 - Ethan Aaron - Is Data a Job or a Skill?
Publicerades 2024-03-13
#164 - Jean-Georges Perrin - Data Mesh, Data Contracts, Modern Data Engineering Standards, Bitol, and More
Publicerades 2024-02-26
#163 - Joe Reis and Matt Housley - The Demise of the Modern Data Stack & Listener Q&A
Publicerades 2024-02-20
#162 - Scott Taylor - Explaining "Value" to the Business
Publicerades 2024-02-12
#161 - Michel Tricot - AI's Impact on Traditional Data Practices and More!
Publicerades 2024-02-06
#160 - Benn Stancil - 2024 Predictions, GenAI and Product Development, etc
Publicerades 2024-01-29
#159 - Dave Langer - Python in Excel, Data Science without "Data Scientists"
Publicerades 2024-01-24
#158 - Joe Reis & Matt Housley - Ask Us Anything
Publicerades 2024-01-16
#157 - Alex Gallego - The Streaming Data Renaissance, Open Formats, More
Publicerades 2024-01-08
#156 - Mike Ferguson - Top Key Trends in Data Management and Analytics
Publicerades 2023-12-21
#155 - Tristan Handy - Data Ecosystems, Moats, Semantic Layers, and More
Publicerades 2023-12-11
#153 - Sarah Nagy - Automating Analytics with Generative AI
Publicerades 2023-11-28
#152 - Dave McComb - Knowledge Graphs, Semantics, and More
Publicerades 2023-11-20
#151 - Kai Zenner - The EU AI Act
Publicerades 2023-11-13
#150 - Nadine Farah - Apache Hudi Deep Dive
Publicerades 2023-11-06
#149 - Why is Data Security so Hard? w/ Yoav Cohen
Publicerades 2023-11-01
#148 - Data Conference Recap (Coalesce, Gitex Dubai, DEWCon) w/ Kevin Hu
Publicerades 2023-10-23
#147 - Data Warehouses and Semantics Deep Dive, SDF, and more w/ Lukas Schulte (SDF)
Publicerades 2023-10-09
#146 - Improving Your Health and Wellness - Techie Edition w/ Colleen Fotsch
Publicerades 2023-10-02
#145 - Data Engineering AMA w/ Matt Housley and Joe Reis
Publicerades 2023-09-26
#144 - Data Career Advice w/ Matt Housley, Chris Tabb, and Joe Reis
Publicerades 2023-09-18
#143 - The Future of Generative AI in Data Analytics w/ Amit Prakash
Publicerades 2023-09-11
#142 - Incentivizing Devs to Pursue Open-Source Projects w/ Max Howell
Publicerades 2023-09-04
#141 - Data Vendors and Grifters w/ Aaron Hunsaker
Publicerades 2023-08-29
#140 - The Power of 3 (Math Nerds, Professors, and Authors) w/ Hala Nelson
Publicerades 2023-08-21
#139 - Streaming Data Processing Deep Dive w/ David Yaffe and Johnny Graettinger (Estuary)
Publicerades 2023-08-14
#138 - The Rise and Importance of Business Language w/ John O'Gorman
Publicerades 2023-08-07
#137 - Why Apache Iceberg Won the Table Format War, Data Mesh, and More w/ Brian Olsen
Publicerades 2023-07-31
#136 - Programming Languages for Data Science, and Why Your BI Team is Your Best Bet for Data Science w/ Dave Langer
Publicerades 2023-07-24
#135 - Dataframe Deep Dive w/ Devin Petersohn
Publicerades 2023-07-18
#134 - Should Your Business Chase Generative AI? w/ Andreas Welsch
Publicerades 2023-07-10
#133 - Intro to Data Contracts w/ Andrew Jones
Publicerades 2023-07-03
#132 - Data Collaboration From the Outside-In w/ Andrew Padilla
Publicerades 2023-06-26
#131 - The Importance of Actionable Data to Inform Decision-Making w/ Joe Perez
Publicerades 2023-06-20
#130 - Data Modeling in 2023 w/ Colin Zima
Publicerades 2023-06-12
#129 - Putting Data Products at the Center of Data Management w/ Saket Saurabh
Publicerades 2023-06-05
#128 - Big & Small Data in 2023 w/ Joe Reis & Matt Housley
Publicerades 2023-05-29
#127 - Product Management as a Data Scientist w/ Santona Tuli
Publicerades 2023-05-22

Every Monday morning, two data nerds - Matt Housley and Joe Reis - have candid and unscripted chats about data.

180 Avsnitt

Monday Morning Data Chat - The Finale!

#185 - Paco Nathan - AI Myths and Reality

#184 - Weimo Liu - Iceberg for SQL and NoSQL

#183 - Matthew Mullins - Bridging the Gap Between Data Engineers and Analysts, and More

#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!

#154 - Sol Rashidi - Getting Business Value From Data, the CXO playbook, AWS ReInvent, and more

#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