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cloud saas
BigLake: unifying data lakes and data warehouses across clouds
Google announced BigLake, a storage engine that unifies data warehouses and data lakes across multiple cloud platforms and on-premises environments. The service enables fine-grained access controls and consistent governance across BigQuery, Amazon S3, Azure Data Lake Storage, and open-source analytics engines like Spark and Presto without requiring data duplication or movement. BigLake integrates with Dataplex for centralized policy management and supports open formats including Parquet and ORC.
Why it matters: Data engineers and cloud architects managing distributed analytics workloads across multicloud environments should evaluate BigLake to reduce storage costs, simplify access control management, and eliminate data silos that complicate governance and security.
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- First seen by Cybersecurity Tracker
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cloud saas
BigLake: unifying data lakes and data warehouses across clouds
Google announced BigLake, a storage engine that unifies data warehouses and data lakes across multiple cloud platforms and on-premises environments. The service enables fine-grained access controls and consistent governance across BigQuery, Amazon S3, Azure Data Lake Storage, and open-source analytics engines like Spark and Presto without requiring data duplication or movement. BigLake integrates with Dataplex for centralized policy management and supports open formats including Parquet and ORC.
Why it matters: Data engineers and cloud architects managing distributed analytics workloads across multicloud environments should evaluate BigLake to reduce storage costs, simplify access control management, and eliminate data silos that complicate governance and security.
- Source published
- First seen by Cybersecurity Tracker