Big Data 2013 Predictions: IBM, Oracle Acquisitions, Maturing Projects
As the year kicks off, global organizations face the most prominent IT and business challenge: big data. The focus for IT will be to provide scalable, high-performance analytics at the lowest cost, as business users demand continuous access to data. By analyzing this data, companies not only gain greater intelligence, but also a competitive advantage. "The increasing need to leverage big data for competitive advantage, along with the rise in innovative product offerings, will completely change the way customers store, manage and analyze their most critical asset—data," said John Bantleman, CEO at RainStor, a specialist in database solutions for big data. "Enabling enterprise customers to manage petabyte-scale data environments in a much more efficient and cost-effective way is what is now required. In the next 12 months, big data will take the spotlight because it is on every company's short list." RainStor's big data management software includes its database, which enables enterprises to keep and access limitless amounts of data for as long as they want at low cost; features high-level compression with high-performance on-demand query and simplified management; and runs natively on a variety of architectures and infrastructure including Hadoop. RainStor offers a set of predictions focused on enterprise big data initiatives in 2013.
Enterprise Big Data Initiatives Move Out of the Sandbox
In 2012, enterprise adoption of big data initiatives rose faster than most had predicted. A recent Computerworld study of 300 large enterprises found the volume of data will increase by 60 percent in 2013, with 13 percent reporting they have big data initiatives already in place. Another 38 percent are implementing or likely to implement big data projects over the next year. Enterprises are forming dedicated big data teams and making big data a line item in their budgets. Requirements are becoming more clearly defined, and distinct patterns are emerging, such as scalability at the lowest cost, rapid-response query and analysis, and the ability to leverage existing standards-based tools that include SQL and business intelligence. Enterprises also expect built-in security and data availability features when handling mission-critical data.