Welcome to #BigData Weekly!
Here is a roundup of Big Data content from this past week ordered by their social sharing volume. I gather the most shared Big Data content in Twitter, Facebook, Google+ and LinkedIn.
Theoretical analysis could expand applications of accelerated searching in biology, other fields.
With an ever-growing number of businesses turning to Big Data and analytics to generate insights, there is a greater need than ever for people with the technical skills to apply analytics to real-world problems.
When Gartner published its latest “Hype Cycle for Emerging Technologies” last week, there was a notable absence of one broad class of technology in particular: big data. The reasoning behind the move may surprise you.
Intel is leading a $20 million investment in BlueData as a way to speed deployments of big data systems among more users.
The data that informs your marketing today is probably the equivalent of a few quick notes quickly jotted down on a sticky note on your desk.
Data is often talked about as if it were a panacea in a giant metaphorical spray bottle with which to spritz our cities and solve everything. And yes, the potential of data to solve urban problems indeed seems infinite. But productive application of data requires strategy, perspective and expertise. That’s where Daniel Collins comes in. He has both a broad and intricate understanding of how to apply data in the urban sphere, and he’s been at it since before data was as readily accessible or, well, as cool as it is now.
The big data market will exceed $46 billion in value by 2018. That’s according to a June 2015 report by the market research consulting firm MarketsandMarkets. With an estimated compounded annual growth rate of 26 percent from 2013 to 2018, big data continues to be big business. But is the big investment in big data resulting in big payoffs?
Intel is eyeing off the world of Big Data with the latest round of updates to its Parallel Studio Suite