Google Adds Real-Time Analysis to its Cloud Service

Google is betting that real-time processing is the future of big data analysis, and has updated two of its cloud services to help enterprises understand what is happening in the moment with their customers and operations.    
Think of the mobile gaming company that wants to know which of its products has gone viral, or the security-sensitive enterprise culling its vast server logs for evidence of the latest security attacks.
Big data analysis growing 
To this end, Google has launched a real-time data processing engine called Google Cloud Dataflow, first announced a year ago. It has also added new features to its BigQuery analysis tool, introduced in 2010. The two cloud services can be used together to facilitate the real-time processing of large amounts of data.
Now available as a beta, Google Cloud Dataflow provides the ability to analyze data as it comes from a live stream of updates. Google takes care of all the hardware provisioning and software configuration, allowing users to ramp up the service without worrying about the underlying infrastructure. The service can also analyze data already stored on disk, in batch mode, allowing an organization to mix historical and current analysis in the same workflow.
In addition to moving Cloud DataFlow into an open beta program, Google also updated its BigQuery service.
BigQuery provides a SQL (Structured Query Language) interface for large unstructured datasets. SQL is commonly used for traditional relational databases, so it is, almost universally understood by database administrators. With this update, Google has improved the service so it can now ingest up to 100,000 rows per second per table.
Computerworld: http://bit.ly/1aUNj2H