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Big data storage

• Data governance best practices exploit big data

  Emerging technologies, such as AI and IoT, in the age of big data mean there's more data than ever to benefit from and for data governance policies to manage and secure. Continue Reading

• Managing storage for IoT data at the enterprise edge

  Edge computing, the cloud and internet of things data are changing the way businesses store, analyze and manage all the information generated at the perimeter of the enterprise. Continue Reading

• AFA storage tackles big data analytics challenges

  The latest generation of all-flash array storage is delivering the high performance and low latency required to support petabyte-scale big data analytics workloads. Continue Reading

• HDFS alternatives can avoid the file system's downfalls

  Increasingly, IT administrators are integrating data center-grade storage systems with Hadoop -- ones that come with the required data protection, security and governance built-in. Continue Reading

• Commercial Hadoop distributors bring HDFS improvements

  These three commercial distributions of Hadoop are alternative options for big data storage that can bypass data protection and performance problems common with HDFS. Continue Reading

• HDFS architecture optimizes performance

  Hadoop Distributed File System architecture and its associated processes let the technology make better use of storage resources than many of today's enterprise storage arrays.Continue Reading

• Hadoop Distributed File System helps tackle big data

  Hadoop Distributed File System storage systems are being enlisted to tackle big data thanks to vendors like EMC, Hitachi, IBM and NetApp, and Apache.Continue Reading

• Cataloging the drawbacks to Hadoop data analysis

  Data is growing at record rates, with no signs of slowing. But what good is having petabytes of data if you can’t gain business advantage from it? Accurate analysis of data can have great positive business results, but requires the right tools and ...Continue Reading

• Tools to tackle big data problems

  Storage for big data often consists of scale-out NAS or object storage, and many look to commodity hardware as a cost-effective way of capturing petabytes of information. One of the most challenging big data problems is that big data storage systems...Continue Reading

• Big data analytics applications impact storage systems

  Analytics applications for big data have placed extensive demands on storage systems, which Mike Matchett says often requires new or modified storage structures.Continue Reading

• An expert's guide to big data storage architecture

  Analyst John Webster answers frequently asked big data questions, including how to choose storage and protect and analyze data in big data environments.Continue Reading

• Navigate data lakes to manage big data

  While the concept of data lakes appeals to business today, IT administrators must exercise caution prior to a full-scale implementation.Continue Reading

• Big data storage challenges: Speed, capacity and HDFS integration

  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 ...Continue Reading

• How big data and Hadoop will change storage management

  Big data analytics creates some challenges for storage managers, but effective integration into a storage environment can make them less daunting.Continue Reading

• Are SSDs necessary to perform analytics on big data efficiently?

  Storage expert Phil Goodwin explains how SSDs can speed up analytics, but solid-state technology is only needed in certain types of environments.Continue Reading