Google Cloud Lakehouse documentation

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Google Cloud Lakehouse is a storage engine that lets you unify data warehouses and lakes. It enables open formats like Apache Iceberg, Apache Parquet and ORC, to be accessed with fine-grained security through a single copy of data without needing to move or duplicate data.

Go to the Lakehouse documentation for more.

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Documentation resources

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Explore self-paced training, use cases, reference architectures, and code samples with examples of how to use and connect Google Cloud services.
Training
Training and tutorials

Learn how to use the Lakehouse runtime catalog with Apache Spark and Apache Iceberg on Cloud Storage.

30 minutes introductory Free

Use case
Use cases

Use Lakehouse to unify your data silos and enable consistent security and performance across different analytics engines.

Use case
Use cases

Implement row- and column-level security for data stored in open formats in Cloud Storage.