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Using Hadoop for Big Data Acceleration

DZone's Guide to

Using Hadoop for Big Data Acceleration

· Database Zone ·
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Compliant Database DevOps and the role of DevSecOps DevOps is becoming the new normal in application development, and DevSecOps is now entering the picture. By balancing the desire to release code faster with the need for the same code to be secure, it addresses increasing demands for data privacy. But what about the database? How can databases be included in both DevOps and DevSecOps? What additional measures should be considered to achieve truly compliant database DevOps? This whitepaper provides a valuable insight. Get the whitepaper

In this video, D.K. Panda from Ohio State University presents: Accelerating Big Data with Hadoop (HDFS, MapReduce and HBase) and Memcached.

"The SuperMUC has 147,456 cores and a peak performance of about 3 petaflop/s. The main memory will be 288 terabytes together with 12 petabytes hard disk space based on the GPFS file system. The system will use 18,432 Intel Xeon Sandy Bridge-EP processors running in IBM System x iDataPlex servers. It will also use a new form of cooling that IBM developed, called Aquasar, that uses hot water to cool the processors, a design that should cut cooling electricity usage by 40 percent, IBM claims."

Recorded at the 2013 HPC Advisory Council Switzerland Conference.

Learn more at: http://www.hpcadvisorycouncil.com/eve...


Compliant Database DevOps and the role of DevSecOps DevOps is becoming the new normal in application development, and DevSecOps is now entering the picture. By balancing the desire to release code faster with the need for the same code to be secure, it addresses increasing demands for data privacy. But what about the database? How can databases be included in both DevOps and DevSecOps? What additional measures should be considered to achieve truly compliant database DevOps? This whitepaper provides a valuable insight. Get the whitepaper

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