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Big data storage challenges: Speed, capacity and HDFS integration
Sponsored by SearchStorage.com
Big data infrastructure and analytics are some of the hottest technology topics today, and it can sometimes seem impossible to dissect and digest all the industry information surrounding them. As a revolutionary way of thinking about data and the way it's used and accessed, big data has staked a claim as a legitimate technology sphere. But what are some of the big data storage challenges storage professionals must deal with when architecting their systems to take advantage of everything the technology has to offer? This technical handbook offers practical advice and how-to tips for establishing an organizations' big data project goals, and delves into areas such as the speed at which analytical processes must deliver results, the ability to scale capacity and integrating HDFS with storage.
Table Of Contents
- Flash, clustering, I/O balancing add up for big data
- How big data and Hadoop will change storage management
- Benefits of performing analytics on big data outweigh any difficulties
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