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    Technology

    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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    Copyright: ℗ & © 2020 Data Brew by Databricks

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    Latest Episodes:
    Data Brew Season 1 Episode 4: BI on Data Lakes - Making it Real for Retail Dec 22, 2020
    Show notes

    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 reduced ETL workload times from four hours with previous data warehouses to minutes enabling near real-time analytics. Her team migrated from multiple legacy data warehouses, run by individual lines of business, to a single scalable, reliable, performant data lake.
    See more at databricks.com/data-brew

    Data Brew Season 1 Episode 3: Demystifying Delta Lake Dec 06, 2020
    Show notes

    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 runs on top of your existing data lake and is fully compatible with Apache Spark APIs. For our “Demystifying Delta Lake” session, we will interview Michael Armbrust - committer and PMC member of Apache Spark™ and the original creator of Spark SQL. He currently leads the team at Databricks that designed and built Structured Streaming and Delta Lake.

    See more at databricks.com/data-brew

    Data Brew Season 1 Episode 2: Welcome to Lakehouse Nov 12, 2020
    Show notes

    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 of data warehouses and data lakes. Ali Ghodsi, Co-Founder and CEO of Databricks, and David Meyer, SVP of Product at Databricks, explain how.
    See more at databricks.com/data-brew

    Data Brew Season 1 Episode 1: From data warehousing to data lakes in 40 minutes Oct 28, 2020
    Show notes

    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 more at databricks.com/data-brew

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