July 28, 2014
In the rapidly evolving SQL-on-Hadoop space, IBM’s Big SQL 3.0 moves the industry forward through its contributions in improving query performance and workload management, while maintaining compatibility with open source Hive and SQL standard. This blog gets under the hood to explain how Big SQL 3.0 delivers these optimizations.
July 24, 2013
Big data technologies like Hadoop are providing enterprises a cost-effective way to store and analyze data. Enterprises are looking at using Hadoop to augment their traditional data warehouse.
April 30, 2013
Many people want SQL, the query language of the past two decades, to work on Hadoop.
March 5, 2013
Batch processing of big data often doesn’t provide the performance desired for interactive queries. Performance will depend on the type and volume of data being processed. When interactive exploration or analytics is needed, data staging with analytics-oriented, high-volume databases is needed.