This webcast (from IDF 2014) covers technical details and best known methods (BKMs) for optimizing big data clusters and Hadoop* workloads on Intel® Xeon® processor E5 v3 based platforms.
• How to deploy, tune and configure the hardware and operating systems for your big data cluster
• How to run an Industry standard benchmark to measure the cluster performance and TCO calculation
• BKMs for optimizing the Hadoop framework configuration and workloads including NoSQL (HBase*, Cassandra) and in-memory analytics frameworks (Spark* / Shark)
In this blog, I want share with you the benefits of the Intel® Enterprise Class Solid-State Drive (SSD). I have compiled a list of articles, white papers, solution briefs, and blogs and provided links below. After reading through the information, I found that it would be useful for you, as the developers wanting to use the Intel Enterprise Class SSD, to get the essential information quickly by grouping them into the questions below. The questions are: What is the Intel Enterprise Class SSD? What is the workload characterization in RAID configurations? Where are the SSDs being used?
The adoption of cloud computing creates many challenges and opportunities in big data management and storage. To resolve this, many independent software vendors and system integrators are working closely with worldwide IT solution vendors to use the latest technology and make improvements in big data storage. This paper discusses one such collaboration between Qihoo 360 Technology Co. Ltd.* and Intel to optimize the storage infrastructure in their Internet Portal Datacenter (IPDC).
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