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.

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 ...

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 has rolled out a new beta of BigQuery, the data warehousing and analysis service available on Google Cloud Platform, which lets admins use standard SQL instead of one of its dialects.

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.

BigQuery originally did not resemble a typical data warehouse, as it worked best when data is organized in nested structures that, at first blush, look more like JSON documents than typical SQL ...

Learn how to use AI chatbots like ChatGPT to run complex BigQuery queries for SEO reporting. Boost your strategic decision-making and reduce manual tasks.

Alooma service enables data scientists and engineers to create real-time data pipelines that continuously stream information from Google Cloud SQL to ...

BigQuery vs Snowflake: Which ETL tool is best? Your email has been sent ETL tools can help you gain more actionable insights from your data sets across multiple sources. Read this comparison of ...