Lakehouse now supports Workday Data Lake as a remote catalog provider

## Feature Feature _Lakehouse_ now supports Workday Data Lake as a remote catalog provider for cross-cloud data access ([Preview](https://cloud.google.com/products#product-launch-stages)). You can configure federated catalogs to query data stored in Workday Data Lake directly from Google Cloud using BigQuery or Apache Spark without migrating data or building complex ETL pipelines. For more information, see [Set up cross-cloud connection for Workday Data Lake](https://cloud.google.com/lakehouse/docs/set-up-cross-cloud-connection-workday). ## Feature Feature The **Query results** pane in the BigQuery Studio query editor lets you[view a short history of recent runs for a query](https://cloud.google.com/bigquery/docs/multi-statement-queries#view%5Fmulti%5Fstatement%5Fquery%5Fresults), including multi-statement queries, without having to navigate to the **Job history** tab. This feature is [generally available](https://cloud.google.com/products/#product-launch-stages)(GA). ## Feature Feature BigQuery [generative AI functions](https://cloud.google.com/bigquery/docs/generative-ai-overview#locations)now support the `gemini-3.8-flash` Gemini model.