Deploying Hadoop? – Learn How You Can Save Money By Avoiding Duplicate Storage

Businesses are realizing tangible results from investments in big data analytics, and IBM’s big data platform is helping enterprises across all industries. IBM is unique in having developed an enterprise-class big data platform that allows you to address the full spectrum of big data business challenges.

As organizations expand their existing storage infrastructure to embrace new workloads including Hadoop MapReduce, it is important that they avoid replicating expensive storage infrastructure. IBM offers a unique new software defined storage capability code named Elastic Storage (based on IBM General Parallel File System, or GPFS™, technology) that can help organizations manage their storage more effectively. Elastic Storage provides full compatibility with the Hadoop Distributed File System (HDFS), while also acting as a fast general-purpose file system, so that organizations can avoid data replication, simplify management and reduce cost.

Elastic Storage is a POSIX-compliant, high performing and proven technology that is found in thousands of mission-critical commercial installations worldwide. It provides a range of enterprise-class data management features and can be deployed independently or with IBM’s big data platform, consisting of IBM InfoSphere® BigInsights™ and IBM Platform™ Symphony.

Review this paper to learn how you can help ensure optimal performance and reliability while reducing your total costs.
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