Google announced two new user-friendly features for its popular BigQuery application with an aim to make it easier and cheaper for businesses to analyze huge data-sets.
On the Google enterprise blog today, the search giant unveiled:
- A processing feature to schedule less time-sensitive batch queries.
- A tool to connect BigQuery to Microsoft Excel to eliminate the time-consuming work of manually importing data and running queries directly within Excel.
BigQuery specializes in real-time insights, but with the new batch processing, product manager Ju-kay Kwek explains, “We understand that there are important, noninteractive queries, such as nightly reports, that businesses also need to run.”
As we reported in November, BigQuery makes it easier and cheaper for companies of all sizes to crunch big data sets. It’s a cloud service that lets users run SQL queries against enormous data-sets and get an answer in seconds, or designate a query as a batch query and let it complete in a matter of hours. In the past, it has been a more expensive process for IT than simply spinning up and uploading data to a Software-as-a-Service (SaaS) program.
BigQuery’s product team has consistently introduced new features to make the product more accessible to business users. This signals a renewed focus from Google on the company’s enterprise division, formerly the neglected sister, and the massive market opportunity for “big data”.
BigQuery is available via a self-service model — it’s cheaper if you don’t require immediate results. Users pay 2 cents per gigabyte processed for batch queries, and 3.5 cents per gigabyte processed for interactive queries.
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