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IBM System x Reference Architecture for Hadoop: MapR Infolink ...
IBM System x Reference Architecture for Hadoop: MapR. Because data growth is
so fast, many enterprises are not able to analyze the data they should. You do.
Infolink:- IBM System x Reference Architecture for Hadoop: MapR
IBM System x Reference Architecture for Hadoop: MapR Because data growth is so fast, many enterprises are not able to analyze the data they should. You do not have the time, resources or capital to experiment with what works in big data analytics. The challenge is to manage the volume, variety and velocity of data; apply analytics for better insight; and use this insight for making better business decisions. IBM® System x® reference architecture solutions for big data analytics from IBM are easy-to-order, easy-to-implement solutions. •
• • • •
IBM is expanding its big data platform to run with multiple distributions of Apache Hadoop. MapR M5 Edition is the latest distribution to be validated on System x M4 reference architectures. MapR is a leading provider of Apache Hadoop distributions and has validated the MapR M5 Edition of the Hadoop distribution on System x M4 reference architectures. The new MapR Reference Architecture for System x M4 illustrates recommended sizes and configurations. MapR M5 Edition has been validated and baked on this IBM System x reference architecture. MapR M5 is an enterprise grade complete Hadoop Distribution that connects directly to clients existing systems. Unique MapR M5 features include NFS Access, Snapshots, Mirroring, and Job Scheduler High Availability make five “9” uptime possible.
WHAT’S NEW: – MapR M5 Edition is the first release of the MapR Apache Hadoop distribution to be validated on the IBM System x M4 reference architecture. – Increased performance, storage and memory capacity with the M4 generation of servers – Support of the Intelligent Cluster fulfillment process – Availability of Lab Services for ease of deployment
CLIENT BENEFITS: – Easy to order and deploy big data platforms for MapR for clients’ Apache Hadoop implementation – Clients who choose MapR as their Apache Hadoop implementation will have the full support of IBM and MapR in a validated environment with IBM System servers. – Direct Access NFS ™ – High Availability (HA) – SnapShots – Mirroring for Point-in-Time recovery – Scales to Trillions of Files
Rack-Level Features
Up to 20 System x3630 M4 nodes Up to 840TB storage Up to 320 cores Up to 1,920GB memory Up to two 10Gb Ethernet switches Scalable to multi-rack configurations
Available Enterprise and Performance Features
Redundant storage Redundant networking High performance cores Increased memory High performance networking
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