Tag:

big data

Latest Headlines

Latest Headlines

IT security spending to reach $77B by 2015, says Gartner

Spending on IT security is forecast by Gartner to increase 8 percent year-over-year in 2014, reaching $71 billion, and another 8.2 percent year-over-year in 2015 to total $77 billion.

Demand for data analysts at record levels

The demand for data analysts has been growing dramatically in the past two years, and perhaps nowhere is the need greater than in healthcare.

Spotlight: 3 mistaken assumptions about what big data can do for you

An article at CIO.com  sheds some light on what big data can actually do for you.

When big data leads to a loss of human rights and bad public policy

It's important to occasionally check ourselves on our enthusiasm for data and analytics. Not all outputs are created equal and some can be seriously over-played to the point where people can be harmed from public policies that stem from them.

Spotlight: How to explain big data to your grandmother (infographic)

Check out this infographic for tips on explaining big data to people who work anywhere and with anything other than big data.

Intel uses big data and wearables to battle Parkinson's disease

Intel has partnered with the Michael J. Fox Foundation to tackle Parkinson's disease. Unlike other efforts, this one uses wearables to collect much of that data.

News Scan: IT pros say: show me more money; Senate urged to pass Permanent Internet Tax Freedom Act; more

The top news stories for August 1, 2014.

Spotlight: The 4 layers of big data

Bernard Marr has a good post in SmartDataCollective on the four key layers of the big data system.

Discerning when we have enough analyses and where to stop

Industry analysts have predicted that there will be somewhere between 26 and 30 billion Internet of Things, or IoT, devices by the year 2020. Will all that data actually be useful? Or will the useful data only get lost in all that noise?

Security risks lie just below the surface of data lakes

While data lakes are being marketed as a key part of any big data solution, they could pose security and regulatory risks to the enterprise.