Closed github-actions[bot] closed 9 months ago
Materialized views can now reference logical views. This feature is in preview.
The ability to perform anomaly detection with BigQuery ML multivariate time series ( ARIMA_PLUS_XREG) models is now in preview. This feature enables you to detect anomalies in historical time series data or in new data with multiple feature columns. Try this new feature by using the Perform anomaly detection with a multivariate time-series forecasting model tutorial.
ARIMA_PLUS_XREG
The following statements are now generally available (GA) with billing enabled:
CREATE TABLE AS SELECT
CREATE TABLE IF NOT EXISTS AS SELECT
CREATE OR REPLACE TABLE AS SELECT
INSERT INTO SELECT
These statements let you filter data from files in Amazon S3 and Azure Blob Storage before transferring results into BigQuery tables.
https://cloud.google.com/bigquery/docs/release-notes#February_28_2024
Feature
Materialized views can now reference logical views. This feature is in preview.
Feature
The ability to perform anomaly detection with BigQuery ML multivariate time series (
ARIMA_PLUS_XREG) models is now in preview. This feature enables you to detect anomalies in historical time series data or in new data with multiple feature columns. Try this new feature by using the Perform anomaly detection with a multivariate time-series forecasting model tutorial.Feature
The following statements are now generally available (GA) with billing enabled:
CREATE TABLE AS SELECTCREATE TABLE IF NOT EXISTS AS SELECTCREATE OR REPLACE TABLE AS SELECTINSERT INTO SELECTThese statements let you filter data from files in Amazon S3 and Azure Blob Storage before transferring results into BigQuery tables.
https://cloud.google.com/bigquery/docs/release-notes#February_28_2024