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.
Doug Cutting, creator of Hadoop and founder of the Apache Hadoop Project, says Big Data is not hype and it's not a bubble. He lays out his vision of how Hadoop will become the Holy Grail of Big Data systems.
While still in its infancy, Big Data helps companies on the cutting edge of customer experience figure out why some customers leave and how to stop others before they do.
You may not think you have petabytes of data worth analyzing, but you will, if you don't already. CIO magazine breaks down the 5 things CIOs need to know, now. As 2012 winds down, it's time to take a look at the year in Big Data. This year saw Big Data begin to emerge from the hype cycle, with more attention paid to how organizations can actually leverage their data assets to gain competitive advantage. Here are 12 of the most-read Big Data articles of 2012.
Thor Olavsrud covers IT Security, Big Data, Open Source, Microsoft Tools and Servers for CIO.com. Follow Thor on Twitter @ThorOlavsrud. Follow everything from CIO.com on Twitter @CIOonline and on Facebook. Email Thor at firstname.lastname@example.org
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This story, "Top 12 Big Data Stories of 2012" was originally published by CIO.