A Big Data decision support system requires particular capabilities in terms of volume, variety of data and processing speed.
Today companies to improve their knowledge models and forecasts, do not hesitate to take into account hundreds of factors, and do not hesitate to bring up new means of analysis that can handle large volumes of data. But the processing of large volumes of data is a challenge for traditional BI infrastructure. Storing large volumes is not a problem, but…
Added by Michel Bruley on July 31, 2012 at 11:03pm — No Comments
Like many industries the Infrastructure/Security/Compliance function within large telecom companies is becoming more data driven. Here are 3 powerful use cases which vividly bring out new possibilities in Telecom big data
Telecom use case-1 : Contact centre text mining and Telecom Bandwidth throttling…Continue
Added by derick.jose on July 17, 2012 at 2:11am — No Comments
Recently, I’ve been feeling like I’ve stepped through a looking glass to another similar-but-very-different world. I’m steeped in 20+ years in corporate data warehousing and business intelligence practice. Throughout that time, there have been big and small technology improvements, but nothing truly disruptive (although new…Continue
Added by Stan Mason on April 13, 2012 at 8:30am — No Comments
Added by Patricia Tenanty on April 13, 2012 at 7:30am — No Comments
“Firestorm” Supercomputer to Help Maximize Turbine Performance
IBM big data analytics software and powerful IBM systems to improve wind turbine placement for optimal energy output. Turbine placement is a major challenge for the renewable energy industry, and Vestas expects to accelerate the adoption of wind energy internationally and expand its business into new markets by overcoming this challenge.
Read more here: …Continue
Added by Stan Mason on April 10, 2012 at 12:30pm — No Comments
So the question is…when do you sample and when do you not? And does it even matter anymore in the world of big data?
As I’ll lay out here, in most cases today there is no point in wasting energy worrying about it. As long as a few basic criteria are met, do whatever you prefer.
First, let’s take care of the cases where sampling just won’t work. If you need to find the top 100 spending customers, you can’t do that with a sample. You’ll have to look at…Continue
First, let me say how pleased I am to be a part of the Data Science Central community. While I was the VP of Marketing at EMC Greenplum, I had a front row seat to the dynamic and very exciting “Big Data” and “Data Science” shows. EMC Greenplum has played a pivotal role in helping organizations of all sizes start the process of orienting their businesses and decision-making around data. It has been said, and I’ll say it again –the companies that embrace the power of data and live that life…Continue