A 10-point guide to getting started with business process management.
Over the last five years, many DBMS vendors have introduced native or in-database implementations of MapReduce, a popular parallel programming model for distributed computing. One key difference is that MapReduce in the data management world tends to speak a very different programming language. There are plenty of other differences, too.
Big data analytics -- and its seemingly enormous infrastructure requirements -- hits an IBM System z sweet spot.
Major disruptive factors reshaping how we view and use data include the volume, variety, and velocity of big data, along with social computing, more pervasive BI, and advanced analytics, says Vitria CTO Dale Skeen.
- By Linda L. Briggs
- May 7, 2013
At TDWI's World Conference in Chicago, Ken Rudin, director of analytics for Facebook, surprised many attendees when he revealed that Facebook has built itself a conventional data warehouse.
- By Stephen Swoyer
- May 6, 2013
We explore several fundamental changes driven by big data analytics.
- By Fern Halper, Ph.D.
- April 30, 2013
Because big data is fast-paced and unpredictable, operational intelligence outstrips the capabilities of traditional BI or DW tools, argues Vitria CTO Dale Skeen.
- By Stephen Swoyer
- April 30, 2013