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You can now use BigQuery change history and continuous queries for Apache Iceberg managed tables in Lakehouse

Generally availableNot yet verified

You can now use BigQuery change history and continuous queries for Apache Iceberg managed tables in Lakehouse. You can use the APPENDS table-valued function (TVF) to track rows appended to Apache Iceberg managed tables over a specified time range, and use BigQuery continuous queries to read incoming data from and write output rows to Apache Iceberg managed...

SQLApache Iceberg

Read on docs.cloud.google.com

Also shipped Nov 2, 2026Google Cloud in November 2026 →

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Lakehouse caching for cross-cloud data access is generally available (GA)

Lakehouse caching for cross-cloud data access is generally available (GA). Cross-cloud caching is disabled by default. You can opt in to caching on a Lakehouse federated catalog or a BigQuery cross-cloud connection to cache remote files in your Google Cloud region. This helps reduce cross-cloud egress costs and accelerate subsequent queries.

GA
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The SECURE_CONTEXT function is now available in Preview

The SECURE_CONTEXT function is now available in Preview . SECURE_CONTEXT returns the value of a request-scoped secure context parameter provided at query runtime, allowing logical views to dynamically filter and evaluate data based on context variables such as user attributes, department IDs, or tenant identifiers.

Preview
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In BigQuery Studio , the left pane has been updated with new tab names

In BigQuery Studio , the left pane has been updated with new tab names. The Classic Explorer tab has been renamed to the Data tab, and the Repository tab has been renamed to the Source control tab. The Data tab now includes the Add data button and focuses on data hierarchies. These changes are generally available (GA).

GA
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