AWS Glue federated datasets are now generally available (GA)

## Feature [AWS Glue federated datasets](https://cloud.google.com/bigquery/docs/glue-federated-datasets) are now [generally available (GA)](https://cloud.google.com/products/#product-launch-stages). An AWS Glue federated dataset is a connection at the dataset level between BigQuery and an existing database in AWS Glue. ## Feature You can now specify translation configurations in the [BigQuery interactive SQL translator](https://cloud.google.com/bigquery/docs/interactive-sql-translator#translate%5Fa%5Fquery%5Fwith%5Fadditional%5Fconfigurations) and use it to [debug batch SQL translator jobs](https://cloud.google.com/bigquery/docs/batch-sql-translator#debug-interactive-translator). This feature is [generally available](https://cloud.google.com/products/#product-launch-stages) (GA). ## Feature The following BigQuery ML data preprocessing features are now[generally available](https://cloud.google.com/products/#product-launch-stages)(GA): * The[ML.TRANSFORM function](https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-transform), which you can use to preprocess feature data. This function processes input data by applying the data transformations captured in the[TRANSFORM clause](https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-create#transform)of an existing model. * [Transform-only models](https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-create-transform), which you can use to apply[preprocessing functions](https://cloud.google.com/bigquery/docs/manual-preprocessing)to input data and return the preprocessed data. Transform-only models decouple data preprocessing from model training, making it easier for you to capture and reuse a set of data preprocessing rules. ## Feature You can now reference [Iceberg tables in materialized views](https://cloud.google.com/bigquery/docs/materialized-views-create#iceberg) instead of migrating that data to BigQuery-managed storage. This feature is in [preview](https://cloud.google.com/products#product-launch-stages).