Analytics
CIO Update – 2/03/2012 – Pioneering organizations are now working with Big Data, data that is either too voluminous or too unstructured to be managed using traditional database technologies and are employing analytical tools to analyze and make decisions on it.
Big Data
Gigaom – 2/03/2012 – Big data is hot, but infrastructure-level platforms such as Hadoop, which focus on storage and processing, still need help to take them into the mainstream
Analytics
ODBMS Industry Watch – 2/02/2012 – “With terabytes, things are actually pretty simple — most conventional databases scale to terabytes these days. However, try to scale to petabytes and it’s a whole different ball game.” –Florian Waas.
Big Data
Gigaom – 2/01/2012 – If you like the idea of your analytics system getting more accurate with each piece of data it ingests, you’re in for an exciting run, because machine learning appears to be catching fire across the ecosystem of big data vendors.
Big Data
Data Science Central – 2/01/2012 – The barriers to entry for Big Data analytics are rapidly shrinking. Big Data cloud services like Amazon Elastic MapReduce and Microsoft’s Hadoop distribution for Windows Azure allow companies to spin up Big Data projects without upfront infrastructure costs and allow them to respond quickly to scale-out requirements.
Jobs
New York Post – 1/31/2012 – If this is the first time you’ve heard the term data scientist, get ready to hear it again. Fortune and Forbes have both called it “the career of the future” — and at the job-search site Indeed.com, listings for data scientists have grown 8,000 percent since 2010.
Big Data
Data Science Central – 1/27/2012 – I am a big fan of Ooyala, even though I cannot pronounce the name of the company properly!
Jobs
The New York Times – 1/26/2012 – Arcane statistical analysis, the business of making sense of our growing data mountains, has become high tech’s hottest calling.