To simplify access management for your Iceberg tables, you can use credential vending mode with the Apache Iceberg REST catalog in BigLake metastore

## Feature To simplify access management for your Iceberg tables, you can use [credential vending mode with the Apache Iceberg REST catalog](https://cloud.google.com/bigquery/docs/blms-rest-catalog) in BigLake metastore. Credential vending removes the need for catalog users to have direct access to Cloud Storage buckets. This feature is in [Preview](https://cloud.google.com/products/#product-launch-stages). ## Feature You can now create BigQuery[non-incremental materialized views over Spanner data](https://cloud.google.com/bigquery/docs/materialized-views-create#spanner)to improve query performance by periodically caching results. This feature is in [Preview](https://cloud.google.com/products/#product-launch-stages). ## Feature BigQuery data preparation supports unnesting arrays, which expands each array element into its own row for easier analysis. For more information, see[Unnest arrays](https://cloud.google.com/bigquery/docs/data-prep-get-suggestions#unnest-arrays). This feature is [generally available](https://cloud.google.com/products#product-launch-stages) (GA). ## Announcement [History-based query optimizations](https://cloud.google.com/bigquery/docs/history-based-optimizations)are now enabled by default. If history-based optimizations have been previously disabled, you can [re-enable history-based optimizations](https://cloud.google.com/bigquery/docs/history-based-optimizations#enable-history-based-optimization)for your project or organization.