Data Brew by Databricks30 Sep 2021

Data Brew Season 3 Episode 3: 3 T’s to Securing AI Systems: Tests, tests, and more tests

For our third season, we focus on how leaders use data for change. Whether it’s building data teams or using data as a constructive catalyst, we interview subject matter experts from industry to dive deeper into these topics. What does it mean to make your machine learning system “production-ready”? Yaron Singer walks us through the infrastructure, testing procedures, and more that help make ML systems ready for the real world in this episode of Data Brew. See more at databricks.com/data-brew

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Episoder(44)

Data Brew Season 1 Episode 4: BI on Data Lakes - Making it Real for Retail

In this session, we discuss the lessons learned with Lara Minor, Senior Enterprise Data Manager at Columbia Sportswear, on how her team achieved a 70% reduction in pipeline creation time. This had red...

22 Des 202029min

Data Brew Season 1 Episode 3: Demystifying Delta Lake

Delta Lake is an open source storage layer that brings reliability to data lakes. Delta Lake offers ACID transactions, scalable metadata handling, and unifies streaming and batch data processing. It r...

6 Des 202025min

Data Brew Season 1 Episode 2: Welcome to Lakehouse

Legacy approaches have failed to deliver on the promise of a single data architecture that can support every downstream use case from BI to AI. Lakehouse aspires to address this by combining the best ...

12 Nov 202026min

Data Brew Season 1 Episode 1: From data warehousing to data lakes in 40 minutes

In our inaugural episode, we’d like to welcome data warehouse luminaries Barry Devlin, Susan O’Connell, and Donald Farmer to discuss the evolution of data warehouses, data lakes, and lakehouses. See ...

28 Okt 202044min