When it comes to big data, technologies abound. How do you select the options best for your environment?
- By James E. Powell
- May 21, 2013
We explore how to leverage tiered data architecture when leveraging cloud-based platforms.
The theme of this month's TDWI World Conference in Chicago was "The Big Data Tipping Point." That tipping point may be occurring in some not-so-obvious ways.
- By Stephen Swoyer
- May 21, 2013
Industries are inspired by competition. This is advantageous for organizations relying on outsourcing, with a plethora of vendors vying to provide that harmonious service you are looking for. Then again, do you need to outsource everything? Mike Atwood from Booz & Company looks at why competition has taken on a whole new meaning.
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.