Monday Morning Data Chat
A podcast by Ternary Data
Categorie:
179 Episodio
-
#185 - Paco Nathan - AI Myths and Reality
Pubblicato: 22/10/2024 -
#184 - Weimo Liu - Iceberg for SQL and NoSQL
Pubblicato: 14/10/2024 -
#183 - Matthew Mullins - Bridging the Gap Between Data Engineers and Analysts, and More
Pubblicato: 07/10/2024 -
#182 - Ricky Thomas and Paul Dudley - Streaming CDC and More
Pubblicato: 30/09/2024 -
#181 - Andrew Ng - Why Data Engineering is Critical to Data-Centric AI
Pubblicato: 16/09/2024 -
#180 - Ghalib Suleiman - Open Q&A + Data Stacks, Open Table Formats, and More
Pubblicato: 10/09/2024 -
#179 - Tevje Olin - What Should Data Engineers Focus On?
Pubblicato: 27/08/2024 -
#178 - Rob Harmon - Rob Harmon - Small Data, Efficiency, and Data Modeling
Pubblicato: 19/08/2024 -
#177 - Joe Reis & Matt Housley - Return of the Show!
Pubblicato: 13/08/2024 -
#154 - Sol Rashidi - Getting Business Value From Data, the CXO playbook, AWS ReInvent, and more
Pubblicato: 13/08/2024 -
#176 - Nick Schrock and Wes McKinney - Composable Data Stacks, Open Table Formats, and More
Pubblicato: 09/07/2024 -
#175 - Zhamak Dehghani + Summer Break 2024 Episode
Pubblicato: 12/06/2024 -
#174 - Ghalib Suleiman - The Zero-Interest Rate Hangover in Data and AI
Pubblicato: 14/05/2024 -
#173 - Bart Vandekerckhove - Data Security Deep Dive
Pubblicato: 08/05/2024 -
#172 - Yali Sassoon - Using LLMs to Support the Analytics Workflow
Pubblicato: 02/05/2024 -
#171 - David Yaffe & John Kutay - The State of Streaming and Change Data Capture
Pubblicato: 22/04/2024 -
#170 - Solomon Kahn - Customer-Facing Data Products, Why A/B Testing is a Waste of Time, and More
Pubblicato: 16/04/2024 -
#169 - Katharine Jarmul - Are We Solving the "Right" Problems with AI?
Pubblicato: 09/04/2024 -
#168 -Cedric Chin & Sam Taylor - Communicating Sophisticated Stuff to Stakeholders
Pubblicato: 02/04/2024 -
#167 - Martin Musiol - Generative AI: Navigating the Course to the AGI Future
Pubblicato: 26/03/2024
Every Monday morning, two data nerds - Matt Housley and Joe Reis - have candid and unscripted chats about data.