The Global Data Management Community

Use discount code DAMA15 for 15% off any registration option. View Registration Options Here ›

DAMA Discount (DGIQDAMA10 for 10% off registration for 2 or more days) View Registration Options Here ›

Use discount code DAMA15 for 15% off any registration option. View Registration Options Here ›

Use discount code DAMA15 for 15% off any registration option. View Registration Options Here ›

Home

Data - Driven News
Posted: Monday, March 23, 2015 - 09:30
Value your Customer Data as a Business Asset

by Martin Doyle Private data is now a very public issue. For the first time in history, people recognise that businesses store their information and they want to know how – and why.

Posted: Monday, March 23, 2015 - 09:25
MapR Free Hadoop On-Demand Training Exceeds 10,000 Registrants in First Month

by Angela Guess According to a recent article out of the company, “MapR Technologies, Inc., provider of the top-ranked distribution for Apache™ Hadoop®, today announced its newly available free Hadoop On-Demand Training program has enrolled more t

Posted: Monday, March 23, 2015 - 09:20
OpenPOWER Foundation Unveils Hardware Solutions To Deliver Server Alternatives

by Angela Guess A recent article reports, “The OpenPOWER Foundation today announced more than ten hardware solutions – spanning systems, boards, and cards, and a new microprocessor customized for China.

Posted: Monday, March 23, 2015 - 09:15
How Big Data Projects Fail

by Angela Guess Bernard Marr recently wrote for Forbes, “Over the past 6 months I have seen the number of big data projects go up significantly and most of the companies I work with are planning to increase their Big Data activities even further o

Posted: Monday, March 23, 2015 - 09:10
Infographic: Real-Time Analytics and the Internet of Things

by Angela Guess Mark van Rijmenam, Founder of Datafloq, recently wrote, “The Internet of Things is here and is here to stay.

Posted: Monday, March 23, 2015 - 09:05
Tensor Methods for Machine Learning

by Angela Guess Ben Lorica recently wrote for the O’Reilly Radar, “Data scientists frequently find themselves dealing with high-dimensional feature spaces.

Pages