Google BigQuery enables unlimited data retention, allowing SEO pros to perform historical trend analyses that are not restricted by the 16-month data storage limit in Google Search Console.

Google explains how to use Search Console's new bulk data export feature, which enables analysis of large data sets via Google BigQuery.

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

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 ...

BigQuery: Lets you store and analyze large amounts of data using SQL (Structured Query Language), a language that you can use to extract or filter data from databases.

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.

We also have a team that centralizes data from various marketing data sources—such as website engagement metrics, purchase information, and much, much more—into Google BigQuery.

BigQuery BI Engine will run behind the scene to process your data. If you don’t want to learn SQL queries, chances are you use Microsoft Excel or Google Sheets to sort and process data.

According to a NewVantage survey, 97.6% of major worldwide organizations are focusing investments into big data and AI. Google's proposed solution is BigQuery Studio, a new service within BigQuery ...

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