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.

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.

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.

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.

In a new Q&A from The Register, host Tim Phillips talks to Geeta Banda of Google about how it is reimagining BigQuery as a ...

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

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 Cloud customers can get started by enabling their BigQuery accounts in its sandbox and then signing up for a Kaggle account and using notebooks as an option.

BigQuery can easily handle significantly bigger databases but chances are most people who will want to use it through Google Drive will be working with significantly smaller files.