Google BigQuery is a powerful, serverless, fully managed, and highly scalable cloud-based data warehousing service for data storage.

Google is adding machine learning capabilities to its BigQuery cloud data warehouse service. Looker is integrating with those capabilities, and making them more accessible to business users.

Google first revealed BigQuery Omni, its Anthos-based multi-cloud data analytics solution, last summer. Today, at its annual Cloud Next event, the company announced that BigQuery Omni is generally ...

One of Google Cloud’s fastest growing services, BigQuery has differentiated itself by the ability to scale querying of large sets of data with ability to support high concurrency. We’re ...

BigQuery’s unique ability to couple petascale query infrastructure with thousands or even tens of thousands of cores and apply it on demand will allow us to fundamentally rethink both the scale ...

Google has taken that sentiment to heart by releasing BigQuery ML in 2018 and Data QnA, an AI service for business analytical queries, earlier this year.

Enter Google Cloud and its new functionality for BigQuery, a serverless enterprise data warehouse product.

Google kicked off its Cloud Next conference with announcements of new innovations for BigQuery to simplify how teams work with data.

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 is announcing today that its BigQuery cloud service for running SQL-like queries on data can now easily take in data from the Google Sheets cloud-based spreadsheet software and then save ...