Monday Morning Data Chat
En podcast av Ternary Data
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Kategorier:
180 Avsnitt
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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
Every Monday morning, two data nerds - Matt Housley and Joe Reis - have candid and unscripted chats about data.