Our most recent event, "Big Data Debunked - Finding the Data Signals," was held on October 4, 2012 in New York City. Watch the discussion here.
The Andreessen Horowitz-backed big data startup aims to be the "equivalent of Salesforce.com for data warehousing."
Big data pilots in 2012 will go production in 2013 and 2014. Then the real fun begins.
NetApp CEO Tom Georgens captures the tug-of-war big data projects will face: "There is a natural data growth of the creation of new data, but that doesn't mean that spending goes up automatically."
At the Techonomy conference in Tucson, industry leaders joined to predict how big data could be used in the future.
"The big data dark ages are now finally behind us," the company's founders say, and they now have the money to prove it.
From a patented questionnaire to monitoring user activity, eHarmony has used a torrent of data to help people find significant others on its online dating website, and made some dosh in the process.
For big data to amount to a serious asset that business and operations can exploit, datacentres will have to take a long, hard look at infrastructure and architecture.
Big data projects haven't hit an inflection point yet, but the signs are beginning to add up. Here's what to look for to indicate big data has it business prime time.
Cloudera's Impala open source project is now a public beta. The company also launches a real-time query services as its second subscription offering.
Mobile device management, HTML5, personal clouds and actionable data will be among the key disruptive forces in 2013 for companies.
Steve Mills, IBM's senior vice president in charge of software and systems, said most companies are thinking vertical applications with their big data pilots.
Data architects and marketers will take psychology patterns and unleash the algorithms to create influence engineering, a new sales generating discipline.
Sears is consolidating its analytics and big data infrastructure and going open source as much as possible. Teradata is sticking around at the retailer.
Aside from a few detours into storage, the actual infrastructure underneath big data applications is often overlooked. It shouldn't be.
Here's a look at the big data lessons learned in the field from a bevy of technology execs.
ZDNet's Big Data Techline Webcast was held on Oct. 4 in New York City. It brought together some of the leading Big Data experts from around the country to share their insights. Here's a photo gallery showing off the event.
Just as big data is one of the hottest topics in IT, data scientist is one of the hottest jobs. IBM's James Kobielus explains what the role involves and why it's so important.
NASA's Nicholas Skytland explains how NASA had to build its own big data capabilities and how it's dealing with the enormous data sets from space missions.
Jon Parks of Grapevine Technologies explains the impact that big data is having in health care and how the ultimate end game is predictive analytics.
Ford's Michael Cavaretta explains how machine-to-machine communications and the Internet of Things will combine with Big Data to provide some big benefits for business.
In last month's TechLines: Cloud Control event, panellists discussed how the cloud allows businesses to become more adaptable, innovating faster and ramping up computing needs for a growing (or shrinking) business, yet it also exposes them to technology lock-in.
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