In 2013, some organizations will deploy the new big data platforms in an IT environment that lacks a unified architecture and does not integrate data, metadata, security, and administration. The use of big data analytic point solutions in a fragmented IT environment can kill the promise that big data can provide better insights by doing more analytics on all data. Such deployments will quickly lead to a torrent of failed big data projects. It doesn't have to be that way. Tighter integration of technologies that support enterprise standards and leverage existing investments in analytical tools is essential for the success of big data initiatives. Deploying applications in a unified enterprise environment makes analytics simpler, faster, and more powerful; while reducing deployment and operational costs.
With today's increasing big data demands, Apache Hadoop is proving to be an economic, elastic and highly-effective solution for data storage and analysis
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