FlexPod Select with Cloudera’s Distribution including Apache Hadoop (CDH)

White Papers > Hadoop > FlexPod Select with Cloudera’s Distribution including Apache Hadoop (CDH)

Apache Hadoop, a software framework is gaining importance in IT portfolios. The FlexPod Select for Hadoop is an extension of FlexPod initiative built based on Cisco Common Platform Architecture (CPA) for Big Data for deployments that need enterprise class external storage array features. The solution offers a comprehensive analytic stack for big data that includes compute, storage, connectivity, enterprise Hadoop distribution with a full range of services to manage heavy workloads. The offer is a pre-validated solution for enterprise Apache Hadoop deployments with breakthroughs around Hadoop stability, operations, and storage efficiency. By integrating all the hardware and software components and using highly reliable products, businesses can meet their tight SLAs around data performance while reducing the risk of deploying Hadoop. Audience

The intended audience of this document includes, but is not limited to, sales engineers, field consultants, professional services, IT managers, partner engineering, and customers who want to deploy FlexPod Select for Hadoop with Cloudera.

Big data is defined as data that is so high in volume and high in speed that it cannot be affordably processed and analyzed using traditional relational database tools. Typically, machine generated data combined with other data sources creates challenges for both businesses and their IT organizations. With data in organizations growing explosively and most of that new data unstructured, companies and their IT groups are facing a number of extraordinary issues related to scalability and complexity. Lines of business are motivated by top line business benefits to work on unsolvable or unaffordable problems involving machine generated data, often combined with other traditional data sources. They exploit big data to derive competitive advantage, provide better customer experiences and help make decisions faster. Big data can be used to prevent fraud, improve business logistics by correlating buyer behavior with inventory, correlate patient treatments to their cures, improve homeland security and government intelligence, cross correlating very huge data sets from credit card transactions, RFID scans, video surveillance, and many other sources.

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