Tag:

big data

Latest Headlines

Latest Headlines

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.

News Scan: IT warned of growing distrust of management decisions; Debate continues over job-stealing robots; More

The top news stories for July 25, 2014.

News Scan: New York drafts nation's first Bitcoin regulations; Identifying most common big data mistakes; more.

The top news stories for July 21, 2014.

News Scan: Two-thirds of business documents expose hidden data; Is work email consuming your personal time?; more.

The top news stories for July 17, 2014.

News Scan: Data location declining in importance; Will feds get giddy with IT spending?; more.

The top news stories for July 15, 2014.

Culture, collaboration and confidence key to big data success

The greatest advanced analytics success stories this year have been among organizations that focus on culture, collaboration and confidence, not the technology alone.

A new big data tool built for biology labs

Researchers in the life sciences spend a quarter of their time managing data, according to an online survey of 70 people working in biology laboratories conducted by the Fraunhofer Institute for Applied Information Technology FIT in Sankt Augustin. Many reported that they have no centralized or structured approach to data collection in their workplace.

8 top challenges big data brings to statisticians

Ronald L. Wasserstein, executive director of the American Statistical Association, speaks frankly of the top eight challenges big data poses to statisticians--and the opportunities it presents as well.