Catalog & Cocktails: The Honest, No-BS Data Podcast

Join Tim, Juan and special guest Bob Muglia, former CEO of Snowflake, to talk about the future of data; knowledge This Takeaway episode will feature the summary of the upcoming episode.

Agile processes in software development date back to the beginning of the century. We’re now seeing concepts like scrum and sprints make their way into the world of data. data.world is even applying agile to data governance. But what exactly does it mean to be agile in data? What’s the end product, and how do you measure and scale the practice in your organization? Join Tim, Juan and special guest Shane Gibson, Founder of AgileData.io to talk agile in the domain of data. This episode will feature: How and why you should apply agile practices to data Why your sprints should actually be three weeks, not two As a longtime fan of the podcast, who’s your favorite host, and why isn’t it Tim?

Join Tim, Juan and special guest Shane Gibson from AgileData.io, to talk agile in the domain of data. This Takeaway episode will feature the summary of the upcoming episode.

What does the word, “privacy” mean to you? Is it about being left alone? Being forgotten? In today’s world of ubiquitous digital apps, we think about privacy and utility as a give and get. To get the best experiences from Google, Facebook, and Amazon, I need to give up some measure of privacy. But, is that true? Join Tim, Juan and special guest Patricia Thaine, CEO from Private AI to discuss the state of data privacy and how enterprises and customers should think about it. This episode will feature: Examples of privacy done right and wrong How to balance privacy and customer experience Which company’s privacy policy is required reading for insomniacs?

Join Tim, Juan and special guest Patricia Thaine, CEO from Private AI to discuss the state of data privacy and how enterprises and customers should think about it. This Takeaway episode will feature the summary of the upcoming episode.

Are you on Team Batch or Team Stream? Next-gen data warehouses, lakehouses, ELT, and orchestration have made batch more modern and popular than ever, but more and more use cases - from fraud detection to smart energy grids - rely on continuous streams to make real-time decisions. Is streaming the coming revolution, or just another way to process data? Join Tim, Juan and special guest Arjun Narayan, CEO of Materialize to discuss all things data streams and how these pipelines fuel the modern data stack. This episode will feature: Reasons why streaming analytics still kind of sucks The future of batch processing in the modern data stack Brook, creek, or river: Which is the best stream and why?

Join Tim, Juan and special guest Arjun Narayan, CEO of Materialize to discuss all things data streams and how these pipelines fuel the modern data stack. This Takeaway episode will feature the summary of the upcoming episode.

Data transformations, dbt, data catalogs, data teams, data culture, data mesh. It’s a lot. But pour yourself a drink and enjoy this special edition of Catalog & Cocktails. Hosts Juan Sequeda and Tim Gasper broadcast live from the 2021 dbt Coalesce conference and were joined by special guests, Meetesh Karia and Claire Look from The Zebra to take a glimpse into the future of analytics engineering. This episode will feature: Why is dbt such a big deal? Data teams and the role of an Analytics Engineer What have you transformed (you, someone else, a product, …) in your own life?

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?!?” This episode will feature: 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?

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?!?” This Takeaway episode will feature the summary of the upcoming episode.