Cloud Computing: Google BigQuery Adds Data Streaming

Grazed from InformationWeek. Author: Thomas Claburn.

Google’s BigQuery, a Web service for analyzing large amounts of data, is about to become more efficient in order to gain insight into data subsets and to refresh its interface. On Wednesday, Google plans to introduce several new features: support for real-time data streaming in BigQuery, the ability to query portions of a table, the query functions SUM and COUNT, and interface improvements designed to enhance productivity.

BigQuery was launched last year as a tool for interactive data analysis. It’s not a database, like Google Cloud SQL. Rather it brings MySQL-style querying to a NoSQL datastore. With additional tools, Hadoop clusters can be deployed to query multi-terabyte datasets, but the resulting system probably won’t return query results as rapidly…

Raj Pai, CEO of social analytics company Claritics, said in a Google case study that time-consuming complex queries of large data sets on Hadoop clusters can be processed by BigQuery in as little as 20 seconds. As a consequence, his company has been able to develop apps four times faster and to spend about 40% less time focused on IT infrastructure. Similar offerings from other companies include Amazon Elastic MapReduce, IBM BigInsights and Microsoft Azure HDInsight…

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