#BigData Weekly 20150831 – The Best New Big Data Content of the Week

Welcome to #BigData Weekly!

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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.

“Searching big data faster”
Theoretical analysis could expand applications of accelerated searching in biology, other fields.

Publish date: 8/26/2015
Social sharing volume in the past week:
384 72 105 143

“Ten top languages for crunching Big Data”
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.

Publish date: 8/26/2015
Social sharing volume in the past week:
1545 67 215 27

“Why Gartner Dropped Big Data Off the Hype Curve”
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.

Publish date: 8/26/2015
Social sharing volume in the past week:
291 64 479 7

“Intel Invests $20M In Big Data Specialist BlueData – InformationWeek”
Intel is leading a $20 million investment in BlueData as a way to speed deployments of big data systems among more users.

Publish date: 8/26/2015
Social sharing volume in the past week:
102 55 108 8

“Making the Case for the ‘Long-Tail’ of Big Data”

Publish date: 8/27/2015
Social sharing volume in the past week:
214 41 194 5

“Big Data for Marketing? You Ain’t Seen Nothing Yet.”
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.

Publish date: 8/25/2015
Social sharing volume in the past week:
300 37 175 15

“Cities Can Use Big Data to Find Out What They Really Don’t Know – Next City”
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.

Publish date: 8/25/2015
Social sharing volume in the past week:
313 56 28 6

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?

Publish date: 8/27/2015
Social sharing volume in the past week:
210 28 31 10

“Intel adds big data functions to math libraries”
Intel is eyeing off the world of Big Data with the latest round of updates to its Parallel Studio Suite

Publish date: 8/25/2015
Social sharing volume in the past week:
118 27 51 3

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