data.world Expands Snowflake Collaboration with New Exclusive Offering to Accelerate Data Trust
AI-Ready Data: Building the Foundation for Trusted Generative AI Applications
Read the first-of-its-kind benchmark on the accuracy of LLMs in the enterprise
data.world received the highest score for innovation and a rating of "exceptional" in 17 of 18 categories.
Understand the broad spectrum of search and how knowledge graphs are enabling data catalog users to explore far beyond data and metadata.
Hear from Power Digital’s Chief Product Officer, Michael Murray, on how he and his team are leveraging the Snowflake Data Cloud and data.world Data Catalog Platform to build the data foundation needed for generative AI for the advertising and performance marketing industry – and delivering a fluid data experience to their customers.
Come join us in our mission to deliver data for all and data for good!
Hear from Power Digital’s Chief Product Officer, Michael Murray, on how he and his team are leveraging the Snowflake Data Cloud and data.world Data Catalog Platform to build the data foundation needed for generative AI for the advertising and performance marketing industry – and delivering a fluid data experience to their customers.
Have you ever had a tax form sent to the wrong address, a credit card with no suspicious activity get deactivated, or been billed for a service you’ve never used? If so, you may be the victim of poor data modeling.
Join Tim, Juan and Karen Lopez, aka @datachick from InfoAdvisors, to discuss what assumptions people and applications make about the simplest data. We’ll also try and answer the question, “why are phone numbers, and addresses so damn hard to model?!?”
Why modeling simple things is harder than it seems, and what we can do about it
The best and worst data modeling fails
If Sports Illustrated had an issue dedicated to data models, what would be on the cover?
“One man’s lookup table is another man’s universe”
Generalized modeling (vs specific modeling)
Don’t forget the cost of needing to document and maintain kinds of institutional knowledge
What is the state of Data engineering today and where is it going (or should it be going)? Who better to talk about Data Engineering than the authors of the recent O’Reilly...
Join Tim, Juan, and special guest Jane Urban from Takeda to understand the difference between a data asset and a data product and why companies still struggle finding the real...
Co-founders of Preql, Gabi Steele and Leah Weiss, join hosts Tim and Juan to discuss how to put the business in charge of their own data and how this leads to the answers AND...
How is your data team driving revenue and reducing costs? How is the impact of your data team being measured? All of these business value topics and more will be discussed with...
Join Tim Gasper, Juan Sequeda and Fraser Harris, VP of Product at Fivetran, as they celebrate the 100th live episode of Catalog & Cocktails and discuss how #metadata,...
Are you a data leader with a technical data strategy and struggling to connect it with the business? Are you trying to get a “seat at the table” and not succeeding? This episode...
This week on Catalog & Cocktails, join hosts Tim Gasper and Juan Sequeda as they chat with special guest, Theresa Kushner, Head of North America Innovation Center at NTT Data...
In this episode, Joe Reis, best-selling author of Fundamentals of Data Engineering explains why data modeling and semantics need to take the center stage for AI to truly succeed.
Join Tim, Juan and Roel Pot, Global Data Manager at Vopak where they discuss how to go from thought leadership to practice.