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Big Data & Analytics

Gather and analyze big data to help forecast market conditions, make critical decisions, and get insight into your customers.
 

Learn More

Software Overview

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

Apache Hadoop*

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.

Apache Spark*

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.

Intel® oneAPI Data Analytics Library

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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Intel technologies may require enabled hardware, software or service activation. // No product or component can be absolutely secure. // Your costs and results may vary. // Performance varies by use, configuration, and other factors. Learn more at intel.com/performanceindex. // See our complete legal Notices and Disclaimers. // Intel is committed to respecting human rights and avoiding causing or contributing to adverse impacts on human rights. See Intel’s Global Human Rights Principles. Intel’s products and software are intended only to be used in applications that do not cause or contribute to adverse impacts on human rights.

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