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    Data Brew Season 1 Episode 5: Combining Machine Learning and MLflow with your Lakehouse

    Data Brew Season 1 Episode 5: Combining Machine Learning and MLflow with your Lakehouse

    FromData Brew by Databricks

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    Data Brew Season 1 Episode 5: Combining Machine Learning and MLflow with your Lakehouse

    FromData Brew by Databricks

    ratings:
    Length:
    36 minutes
    Released:
    Jan 6, 2021
    Format:
    Podcast episode

    Description

    Ellissa Verseput, ML Engineer at Quby, joins Denny and Brooke to discuss how Quby leverages ML to extract additional value from their data lake and how they manage this process.See more at databricks.com/data-brew
    Released:
    Jan 6, 2021
    Format:
    Podcast episode

    Titles in the series (30)

    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.