Data Brew by Databricks


Welcome to Data Brew by Databricks with Denny and Brooke! In this series, we explore various topics in the data and AI community and interview subject matter experts in data engineering/data science. So join us with your morning brew in hand and get ready to dive deep into data + AI! For this first season, we will be focusing on lakehouses – combining the key features of data warehouses, such as ACID transactions, with the scalability of data lakes, directly against low-cost object stores.
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Data Brew Season 3 Episode 6: Open Source
Data Brew Season 3 Episode 6: Open SourceData Brew Season 3 Episode 5: Sustainability & SakeData Brew Season 3 Episode 4: Executive EducationData Brew Season 3 Episode 3: 3 T’s to Securing AI Systems: Tests, tests, and more testsData Brew Season 3 Episode 2: Data Culture Outside ‘The Valley’Data Brew Season 3 Episode 1: Disrupt: Challenge your Business AssumptionsData Brew Season 2 Episode 9: Data Driven SoftwareData Brew Season 2 Episode 8: Feature EngineeringData Brew Season 2 Episode 7: Interpretable Machine LearningData Brew Season 2 Episode 6: AutoMLData Brew Season 2 Episode 5: ML ApplicationsData Brew Season 2 Episode 4: Hyperparameter and Neural Architecture SearchData Brew Season 2 Episode 3: Infrastructure for MLData Brew Season 2 Episode 2: Data EthicsData Brew Season 2 Episode 1: ML in ProductionData Brew Season 1 Episode 6: Journey of Big DataData Brew Season 1 Episode 5: Combining Machine Learning and MLflow with your LakehouseData Brew Season 1 Episode 4: BI on Data Lakes - Making it Real for RetailData Brew Season 1 Episode 3: Demystifying Delta LakeData Brew Season 1 Episode 2: Welcome to Lakehouse