The following BigQuery ML data preprocessing features are now
generally available
(GA):
The
ML.TRANSFORM function,
which you can use to preprocess feature data. This function processes input
data by applying the data transformations captured in the
TRANSFORM clause
of an existing model.
Transform-only models,
which you can use to apply
preprocessing functions
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
AWS Glue federated datasets are now generally available (GA).
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 and use it to debug batch SQL translator jobs. This feature is generally available (GA).
Feature
The following BigQuery ML data preprocessing features are now generally available (GA):
ML.TRANSFORMfunction, which you can use to preprocess feature data. This function processes input data by applying the data transformations captured in theTRANSFORMclause of an existing model.Feature
You can now reference Iceberg tables in materialized views instead of migrating that data to BigQuery-managed storage. This feature is in preview.
https://cloud.google.com/bigquery/docs/release-notes#April_30_2024