Catalog & Cocktails: The Honest, No-BS Data Podcast
Un pódcast de data.world - Jueves
306 Episodo
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Is Data a First Class Citizen in your Company? w/ Wendy Turner-Williams
Publicado: 3/8/2023 -
TAKEAWAYS - Is Data a First Class Citizen in your Company?
Publicado: 2/8/2023 -
Ranting about (lack of) business value by data teams w/ Ethan Aaron
Publicado: 27/7/2023 -
TAKEAWAYS - Ranting about (lack of) business value by data teams w/ Ethan Aaron
Publicado: 27/7/2023 -
People and Data w/ Tom Redman, The Data Doc
Publicado: 20/7/2023 -
TAKEAWAYS from People and Data w/ Tom Redman, The Data Doc
Publicado: 19/7/2023 -
Modeling and Semantics are more important than ever, because of AI with Joe Reis
Publicado: 13/7/2023 -
TAKEAWAYS: Modeling and Semantics are more important than ever, because of AI
Publicado: 13/7/2023 -
Catalogs & Cocktails Live from Snowflake Summit 2023 in Las Vegas
Publicado: 6/7/2023 -
There is no “I” in Data Governance with Aakriti Agrawal from American Express
Publicado: 8/6/2023 -
Takeaways with Aakriti Agrawal from American Express
Publicado: 8/6/2023 -
Juan’s on Vacation
Publicado: 1/6/2023 -
UPDATED RELEASE: Automating Data Governance, it’s the only way to go w/ Ben Clinch from BT Group
Publicado: 29/5/2023 -
Takeaways with Ben Clinch from BT Group
Publicado: 25/5/2023 -
Using data to change the game w/ Maddy Want from Fanatics
Publicado: 18/5/2023 -
Takeaways with Maddy Want from Fanatics
Publicado: 18/5/2023 -
Live from the Knowledge Graph Conference with Katariina Kari from IKEA
Publicado: 11/5/2023 -
Takeaways with Katariina Kari from Ikea
Publicado: 11/5/2023 -
Unpacking Responsible AI with Ricardo Baeza-Yates
Publicado: 4/5/2023 -
Takeaways with Ricardo Baeza-Yates
Publicado: 4/5/2023
<p>Catalog and Cocktails is an honest, no-BS, non-sales-y conversation about data and analytics. This is your unfiltered chat about everything interesting in data and metadata management, DataOps, architecture, and beyond. Join Juan Sequeda and Tim Gasper to explore emerging topics and hear from visionary leaders across the data space. </p>
