Help ensure success in text analytics by understanding its value and by starting small.
- By Linda L. Briggs
- February 11, 2014
For the best integration performance for big data challenges, make sure your middleware can leverage in-memory data grid computing, but don't overlook the need for business process management and optimization for the enterprise systems you're integrating.
More than half of respondents in a TDWI survey say they're actively using or evaluating predictive analytics (PA) technologies. That's big -- but whether PA ever sees truly pervasive adoption is another matter.
- By Stephen Swoyer
- February 11, 2014
Hadoop's growth spurt has produced growing pains -- which the Hadoop community has worked feverishly to address. These efforts are bearing demonstrable fruit.
- By Stephen Swoyer
- February 4, 2014
A platform once reserved to academia is quietly taking root in the business world, enabling a new generation of advanced analytics that helps enterprises better predict and understand the needs of their customers.
Some companies are hugely successful in using BI, others are not. In a new book, well-known analyst Cindi Howson uses exclusive survey data and case studies to show how companies are deploying state-of-the-art BI for competitive advantage.
- By Linda L. Briggs
- February 4, 2014
One key to analyzing how consumers will spend is affordability data, which includes hundreds of influential variables.
Splice Machine exposes a full ANSI SQL query facility for HBase, along with support for indices, database triggers, and other data management essentials. It's ACID-compliant, too.
- By Stephen Swoyer
- January 28, 2014
It's about the design of individual databases, but even more about how all databases in an enterprise relate and interact.