BigQuery Tables For Apache Iceberg Optimize Open Lakehouse

BigQuery native tables have been supporting enterprise-level data management features including streaming ingestion, ACID transactions, and automated storage optimizations for a number of years

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BigQuery tables for Apache Iceberg, a fully managed storage engine from BigQuery that works with Apache Iceberg and offers capabilities like clustering

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It provide the same feature set and user experience as BigQuery native tables, but they store data in customer-owned cloud storage buckets using the Apache Iceberg format

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BigQuery handles table-maintenance duties automatically without requiring client labor when using BigQuery tables for Apache Iceberg

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BigQuery tables for Apache Iceberg use Vortex, an exabyte-scale structured storage system that drives the BigQuery storage write API, to provide high-throughput streaming ingestion

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BigQuery tables for Apache Iceberg may have a greater rate of modifications than table formats since they are not limited by the need to commit the information to object storage

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BigQuery tables for Apache Iceberg are used to export metadata into cloud storage Iceberg snapshots. BigQuery metastore, a serverless runtime metadata service that was revealed earlier this year

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