This video animation provides an overview of Intel® software contributions to big data and analytics. From open enterprise-ready software platforms to analytics building blocks, runtime optimizations, tools, benchmarks and use cases, Intel software makes big data and analytics faster, easier, and more insightful.
Technologies
Using simple programming models, Hadoop* is a framework that allows for the distributed processing of large data sets across clusters of computers. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
Use this fast, general engine for large-scale data processing that runs programs up to 100 times faster than Hadoop MapReduce* in memory or ten times faster on disk. Write applications quickly in Java*, Scala, Python*, and R. Combine SQL, streaming, and complex analytics.
This library speeds up big data analytics with algorithmic building blocks for all data analysis stages for offline, streaming, and distributed analytics usages. Use it with popular data platforms including Hadoop, Spark, R, and MATLAB* for efficient data access.
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