With more and more companies storing more and more data and hoping to leverage it for actionable insights, Big Data is making a big splash these days. Open source technology is at the core of most Big Data initiatives. Here are nine key open source Big Data technologies to keep an eye on.
The amount of data in the world doubles every 18 months. Here's a look at eight real-world Big Data deployments in a variety of industries.
When it comes to Big Data, the financial services sector has been somewhat slow on the uptake. Neil Palmer, partner of SunGard Consulting Services' Advanced Technology Business, explains it as a cautious approach to innovation driven by the heavily regulated nature of the industry. Here are 10 trends that SunGard's Palmer says will shape Big Data initiatives across all segments of the financial services industry in 2012.
Big Data is coming, but for many organizations it's three-to-five years away. That doesn't mean you shouldn't prepare now. Analyzing Big Data will require reference information like that provided by a semantic data model. And once you mine the data, you need to secure it.
A new study suggests many organizations are concerned about managing Big Data, but most don't have a clear understanding of what Big Data means. Log management solutions can help organizations make sense of some of the data they're generating, but many resort to syslogs, spreadsheets or nothing at all.
Equifax, the giant credit bureau, is using Big Data to create new analytics products from 800 billion business and consumer records worldwide. Its CIO says, 'We know more about you than you would care for us to know.'
Big data is breathing new life into business intelligence by putting the power of prediction into the hands of everyday decision-makers.
A lot of hype surrounds the term Big Data, but there's also a lot of action. Like the Oakland Athletics under Billy Beane in the Moneyball era, a majority of organizations today are making the transition to a culture that leverages data and analytics to increase revenue and improve efficiency.
Developing a winning Big Data strategy is challenging because it is as much about getting ahead of the trend and acquiring talent as it is about investing in new technology. To be successful you will need Data Scientists on your team, professionals who are adept with the analytical and visualization tools required to process and recognize patterns in data and who are equally comfortable with business concepts and operations. EMC's Howard Elias recommends three steps to help ensure your organization has the people it needs.
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