BigLake Tables: Future of Unified Data Storage And Analytics

BigLake tables provide structured data queries in external data storage with delegation. Access delegation separates BigLake table and data storage access. Data store connections are made via service account external connections

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BigLake table may be used in SELECT statements like any other BigQuery table, including in DML and DDL operations that employ subqueries to obtain data

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The remote portion constructs a temporary BigQuery table by performing a CREATE TABLE AS SELECT (CTAS) action on the BigLake table in the BigQuery Omni region

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Cacheable information improves BigLake table query efficiency. Metadata caching helps when dealing with several files or hive partitioned data. BigLake tables that cache metadata include

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You may selectively update BigLake table information using subdirectories of the table data directory. You may prevent superfluous metadata processing

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When querying structured data in Cloud Storage or Amazon S3, materialized views over BigLake metadata cache-enabled tables increase speed and efficiency

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BigLake table datasets may be listed on Analytics Hub. These postings provide Analytics Hub customers a read-only linked dataset for their project. Subscribers may query all connected dataset tables, including BigLake

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