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  1. Google Cloud offers a suite of autoscaling services that enable you to build a data lake that integrates with your existing applications, skills, and IT investments. This includes Dataflow and Cloud Data Fusion for data ingestion, Cloud Storage for storage, and Dataproc and BigQuery for data and analytics processing.
    cloud.google.com/learn/what-is-a-data-lake
    At its Data Cloud Summit this week, the company is unveiled BigLake, unifying data warehouses and data lakes to enable organizations to store, manage and analyze their data via a single copy of data without having to duplicate or move it or to worry about the underlying storage format or system.
    www.nextplatform.com/2022/04/06/google-biglake …
    The idea here, at its core, is to take Google’s experience with running and managing its BigQuery data warehouse and extend it to data lakes on Google Cloud Storage, combining the best of data lakes and warehouses into a single service that abstracts away the underlying storage formats and systems.
    techcrunch.com/2022/04/05/google-cloud-launche…
     
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