We developed Google BigQuery Service for large-scale internal data analytics. At Google I/O last year, we opened a preview of the service to a limited number of enterprises and developers. Today we're releasing some big improvements, and putting one of Google's most powerful data analysis systems into the hands of more companies of all sizes.
- We've added a graphical user interface for analysts and developers to rapidly explore massive data through a web application.
- We've made big improvements for customers accessing the service programmatically through the API. The new REST API lets you run multiple jobs in the background and manage tables and permissions with more granularity.
- Whether you use the BigQuery web application or API, you can now write even more powerful queries with JOIN statements. This lets you run queries across multiple data tables, linked by data that tables have in common.
- It's also now easy to manage, secure, and share access to your data tables in BigQuery, and export query results to the desktop or to Google Cloud Storage.
Google opens BigQuery for cloud analytics (The Register, UK)
The BigQuery service lets users upload and crunch huge amounts of data without investing in their own data center resources. Delegates at the Google Atmosphere conference in Mountain View, California, on Monday were told that the BigQuery engine can quickly scan through up to 70TB of uncompressed data and spit out analytic results.