Achieve near-real-time results from your Apache Hadoop* cluster, without days or weeks of specialized tuning
Do-it-yourself (DIY) Apache Hadoop* clusters are appealing to many organizations because of the apparent cost savings from using commodity hardware and free software distributions. Despite these apparent savings, many organizations are opting to purchase pre-built clusters, such as the Oracle Big Data Appliance*, because they know that a commodity cluster requires considerable time and specialized engineering skills to deploy, optimize, and tune for real-time data analysis.
Powered by fast, efficient Intel® Xeon® processors, the Oracle Big Data Appliance is a pre-built and optimized solution for Apache Hadoop big data analysis that can be deployed in minutes. It can then be tuned for near-real-time analysis in minutes or hours, instead of the days or weeks it would take to tune a DIY Apache Hadoop cluster. This paper describes the performance tuning techniques used in benchmark testing that resulted in an Oracle Big Data Appliance performing nearly two times faster than a comparable DIY cluster.
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