Data Brew by Databricks22 Huhti 2021

Data Brew Season 2 Episode 1: ML in Production

For our second season, we will be focusing on machine learning, from research to production. We will interview folks in academia and industry to discuss topics such as data ethics, production-grade infrastructure for ML, hyperparameter tuning, AutoML, and many more. In the season opener, Matei Zaharia discusses how he entered the field of ML, best practices for productionizing ML pipelines, leveraging MLflow & the Lakehouse architecture for reproducible ML, and his current research in th...

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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 Joulu 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 Joulu 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 Marras 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 Loka 202044min