Google is abandoning its homegrown SQL variant as the recommended default query language for its BigQuery service in favor of a new standard-compliant dialect in the works for the managed data ...

Since BigQuery became available to all developers in 2012, it’s been possible to query data with the SQL-like BQL, which stands for BigQuery Query Language.

With BigQuery Omni, customers can use standard SQL and familiar BigQuery APIs to analyze data residing in different clouds, Saha wrote in a blog post that accompanied the announcement. “The same ...

SAN FRANCISCO-- (BUSINESS WIRE)--Trifacta, the Data Engineering Cloud company, today announced Google Cloud Dataprep by Trifacta now leverages the full power of SQL to transform data inside BigQuery.

With Looker Studio and BigQuery SQL, Google will surely keep the "Jenga pieces" of business intelligence from falling apart. Learn how you can join our contributor community.

To that end, Google has announced a beta release of BigQuery ML, a SQL-based extension to its enterprise data warehouse service, for building and deploying machine learning models.

Google’s big bet on Anthos starts to pay off. BigQuery Omni is an early indication of Google’s ambitious plan to bring some of its managed services to hybrid cloud and multi-cloud environments.

Google today debuted a slew of new features aimed at analytics workloads, including Cloud Data Fusion, connected sheets in BigQuery, and Data Catalog.

With Unravel, BigQuery users can speed cloud transformation initiatives by having real-time cost visibility, predictive spend forecasting, and performance insights for their workloads.

Google Cloud introduced a new multicloud analytics solution this week that allows the BigQuery petabyte-scale data warehouse service to connect directly to data stored in other clouds.