Monday Morning Data Chat
Un pódcast de Ternary Data
Categorías:
179 Episodo
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#185 - Paco Nathan - AI Myths and Reality
Publicado: 22/10/2024 -
#184 - Weimo Liu - Iceberg for SQL and NoSQL
Publicado: 14/10/2024 -
#183 - Matthew Mullins - Bridging the Gap Between Data Engineers and Analysts, and More
Publicado: 7/10/2024 -
#182 - Ricky Thomas and Paul Dudley - Streaming CDC and More
Publicado: 30/9/2024 -
#181 - Andrew Ng - Why Data Engineering is Critical to Data-Centric AI
Publicado: 16/9/2024 -
#180 - Ghalib Suleiman - Open Q&A + Data Stacks, Open Table Formats, and More
Publicado: 10/9/2024 -
#179 - Tevje Olin - What Should Data Engineers Focus On?
Publicado: 27/8/2024 -
#178 - Rob Harmon - Rob Harmon - Small Data, Efficiency, and Data Modeling
Publicado: 19/8/2024 -
#177 - Joe Reis & Matt Housley - Return of the Show!
Publicado: 13/8/2024 -
#154 - Sol Rashidi - Getting Business Value From Data, the CXO playbook, AWS ReInvent, and more
Publicado: 13/8/2024 -
#176 - Nick Schrock and Wes McKinney - Composable Data Stacks, Open Table Formats, and More
Publicado: 9/7/2024 -
#175 - Zhamak Dehghani + Summer Break 2024 Episode
Publicado: 12/6/2024 -
#174 - Ghalib Suleiman - The Zero-Interest Rate Hangover in Data and AI
Publicado: 14/5/2024 -
#173 - Bart Vandekerckhove - Data Security Deep Dive
Publicado: 8/5/2024 -
#172 - Yali Sassoon - Using LLMs to Support the Analytics Workflow
Publicado: 2/5/2024 -
#171 - David Yaffe & John Kutay - The State of Streaming and Change Data Capture
Publicado: 22/4/2024 -
#170 - Solomon Kahn - Customer-Facing Data Products, Why A/B Testing is a Waste of Time, and More
Publicado: 16/4/2024 -
#169 - Katharine Jarmul - Are We Solving the "Right" Problems with AI?
Publicado: 9/4/2024 -
#168 -Cedric Chin & Sam Taylor - Communicating Sophisticated Stuff to Stakeholders
Publicado: 2/4/2024 -
#167 - Martin Musiol - Generative AI: Navigating the Course to the AGI Future
Publicado: 26/3/2024
Every Monday morning, two data nerds - Matt Housley and Joe Reis - have candid and unscripted chats about data.