Bring cross-cloud analytics to your data with a unified analytics lakehouse

Channel:
United States Google Cloud
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209,000
Published on ● Video Link: https://www.youtube.com/watch?v=9x0TN5ldyJA


Duration: 14:41
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6

Organizations have been searching for optimal ways to store and analyze vast amounts of structured, unstructured, and semistructured data that can handle the increasing volume, latency, resilience, and data-access requirements demanded by cross-functional teams. The lakehouse architecture, which combines the key benefits of data warehouses and data lakes, emerged to address some of these issues. In this session, learn how Google is extending the benefits of the lakehouse architecture into an end-to-end analytics lakehouse, enabling organizations to both extract data in real time, regardless of which cloud or datastore the data resides in, and to use it in aggregate for greater insight and AI.

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