Interact with Lakehouse data in BigQuery

Lakehouse for Apache Iceberg is a storage engine that unites Cloud de Confiance by S3NS and open source services to create a unified interface for advanced analytics and AI. It provides the foundation to build an open, managed, and high-performance lakehouse with automated data management and built-in governance using Apache Iceberg.

When you create a table in Lakehouse, it is automatically queryable from BigQuery and is visible on the BigQuery page of the Cloud de Confiance console. Your Lakehouse namespaces and schemas are also automatically mapped to BigQuery datasets.

Differences between Lakehouse resources and other BigQuery resources

The following are key differences between Lakehouse and standard BigQuery resources:

  • Lakehouse datasets appear in the BigQuery page of the Cloud de Confiance console next to the water icon.
  • You can't modify Lakehouse resources from BigQuery.
  • Lakehouse resources have additional metadata in their respective Details section.

Use cross-cloud Lakehouse

You can use cross-cloud Lakehouse to query data that's stored in other cloud providers, directly from BigQuery, without migrating files or building complex ETL pipelines. For configuration information, see Use cross-cloud Lakehouse.

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