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Data Storage

SSDs Excel in Big Data Architecture [INFOGRAPHIC]

Everyone is talking about big data and the opportunities it provides enterprises to leverage all of the information they’ve collected about customers, interactions, market trends and more. Big data architecture encompasses all the systems necessary to support the databases and data mining programs. But big data is only valuable if an enterprise is able to access and analyze data quickly enough to support actionable business decisions.

One of the best ways to improve the performance of big data systems is with the use of solid state drives (SSDs). SSDs can improve database performance by an order of magnitude when compared against traditional HDDs, and some relatively small changes in the overall system can yield dramatic improvements in performance.

The infographic below highlights how big data systems can be optimized through the use of SSDs. It covers scale-up architectures, mitigation of virtualization effects, performance increases in hybrid databases, SSDs in the cloud, optimizing the Map Reduce function, making the best use of tiered storage, ensuring good performance with small, “hot data” and the best use cases for tightly coupled storage systems.

Check out the infographic below, and learn more about optimizing big data systems by reading this white paper.

SSDs Excel in Big Data Architecture from Samsung Business USA

Posts By

Logan Harbaugh

Logan Harbaugh is an IT consultant and reviewer. He has worked in IT for over 20 years, and was a senior contributing editor with InfoWorld Labs as well as a senior technology editor at Information Week Labs. He has written reviews of enterprise IT products including storage, network switches, operating systems, and more for many publications and websites, including Storage Magazine, TechTarget.com, StateTech, Information Week, PC Magazine and Internet.com. He is the author of two books on network troubleshooting.

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