cloud-test: Google BigQuery Service: Big data analytics at Google speed

Google Cloud Platform Blog

Google BigQuery Service: Big data analytics at Google speed

Monday, November 14, 2011

Our post today, cross-posted with the Google Enterprise Blog, comes from one of our sister projects, BigQuery. We know that many of you are interested in processing large volumes of data and we encourage you to try it out.
Rapidly crunching terabytes of big data can lead to better business decisions, but this has traditionally required tremendous IT investments. Imagine a large online retailer that wants to provide better product recommendations Google BigQuery ServiceGoogle I/O last year

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.