Accelerate Big Data Analysis with Intel® Technologies
It’s not very often that a disruptive technology changes the way enterprises operate. In the same way that the microprocessor, the personal computer, and virtualization changed the computing landscape, Apache Hadoop* and the MapReduce framework have forever changed the way that enterprises capture, store, and analyze information. But while yesterday’s hardware technology helped lay the foundation for big data analysis, today’s technologies let enterprises analyze more data faster than ever before. Intel is leading the big data infrastructure charge with advancements in microprocessors, storage, and networking. These advancements can help increase the scalability and performance of large Apache Hadoop clusters. In internal tests that compared servers equipped with the previous generation Intel® Xeon® processor E5 family and servers equipped with the Intel® Xeon® processor E7 v2 family, the servers equipped with the Intel Xeon processor E7 v2 family demonstrated performance gains of up to 3.5 times across a spectrum of I/O- and CPU-intensive workloads. This paper highlights technologies available from Intel that enterprises can use to scale up Apache Hadoop clusters to handle the increasing volume, variety, and velocity of data. Enterprises can reduce the complexity and total cost of ownership (TCO) of their clusters by using fewer, more powerful servers, which can reduce operational costs up to 37 percent overall over a four-year period.
Read the full Accelerate Big Data Analysis with Intel® Technologies white paper.