Think Big Dashboard Engine Enables BI Reporting for Hadoop

Dashboards and online analytic processing (OLAP) rollup summaries have existed for a long time in the business intelligence market, but, Think Big contends, no one has delivered OLAP summary analysis from multi-structured big data at scale.

“There are endless streams of data from web browsers, set top boxes, and contact centers that often land in Hadoop, but sometimes don’t make their way into downstream analytics,” said Ron Bodkin, president, Think Big, a Teradata company.

To add this capability to Hadoop, Think Big has introduced the Dashboard Engine for Hadoop, which enables organizations to access and report on big data in Hadoop-based data lakes to make agile business decisions.

According to Think Big, the Dashboard “distills” terabytes of data per hour into billions of aggregates, which can then be queried by business users in under a second with a business intelligence solution. “For the first time, the Dashboard Engine for Hadoop offers organizations the ability to get summarized Hadoop data in under a second, without having to go through transformation and modeling processes,” said Bodkin.

The Dashboard Engine for Hadoop offers fast ingestion of new data, without requiring that the business users wait for data to be reloaded, or for the refresh of OLAP cube calculations, and, it handles many forms of multi-structured data, such as click stream, mobile phone logs, sensor, and JSON (JavaScript Object Notation).

To support the Dashboard Engine for Hadoop, Think Big provides installation and expert implementation services to help organizations develop a solution that fits their specific business needs.

The beta version of the Dashboard Engine for Hadoop is currently available, with general availability targeted for the third quarter.