Catalog & Cocktails: The Honest, No-BS Data Podcast
Ein Podcast von data.world - Donnerstags
306 Folgen
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Data Contracts and Shift Responsibility to Left with Andrew Jones
Vom: 1.12.2023 -
Making Data Science more Accessible with Doris Lee
Vom: 22.11.2023 -
Understanding the Role of Knowledge Graphs on Large Language Model’s Accuracy for Question Answering on Enterprise SQL Databases
Vom: 22.11.2023 -
Data Storytelling with Kat Greenbrook
Vom: 2.11.2023 -
Data Storytelling with Kat Greenbrook
Vom: 2.11.2023 -
LLMs, Retrieval Augmented Generation, Knowledge Graph, Vector Databases with Mike Dillinger
Vom: 26.10.2023 -
Data Catalogs, The Power of Collaboration with Krystin Kim
Vom: 24.10.2023 -
Data Stewardship, Data Product Management, Data Governance and AI with Tim Gasper and Juan Sequeda
Vom: 12.10.2023 -
Generative AI, Data Products and Business Value with Jon Cooke
Vom: 5.10.2023 -
TAKEAWAYS - Generative AI, Data Products and Business Value with Jon Cooke
Vom: 4.10.2023 -
From London to San Francisco: Summary of BigDataLDN and AI Conference
Vom: 28.9.2023 -
Business Value on the #meandatastreets with Chris Tabb
Vom: 21.9.2023 -
Tim and Juan Rant from Amsterdam: where is the data budget?
Vom: 14.9.2023 -
Data that Doesn’t Drive Results is Useless with Alexa Westlake
Vom: 7.9.2023 -
What does Data Lakehouse, Sports and Generative AI have in common? with Ari Kaplan
Vom: 31.8.2023 -
From Technical to Business Data Strategy with Aaron Wilkerson from Carhartt
Vom: 24.8.2023 -
TAKEAWAYS - From Technical to Business Data Strategy with Aaron Wilkerson from Carhartt
Vom: 24.8.2023 -
Juan and Tim rant about AI and Chatting with your data
Vom: 17.8.2023 -
Data Sustainability w/ Simone Steel
Vom: 10.8.2023 -
TAKEAWAYS - Data Sustainability w/ Simone Steel
Vom: 9.8.2023
<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>