Big Data - Overview

Big Data & Analytics

Gathering and analyzing “big data” helps forecast market conditions, make critical decisions, and get insights into your customers.

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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.


Spotlight

BigDL: Distributed Deep Learning on Apache Spark

BigDL is a distributed deep learning library for Apache Spark*; with BigDL, users can write their deep learning applications as standard Spark...

BigDL: Distributed Deep Learning on Apache Spark* As the leading framework for Distributed ML, the addition of deep learning to the super-popular Spark framework is important, because it allows Spark...
Introducing DNN primitives in Intel® Math Kernel Library     Deep Neural Networks (DNNs) are on the cutting edge of the Machine Learning domain. These algorithms received wide industry adoption in the late...
EXASOL: Accelerates BI and Reporting to Turn Data Into Value Faster
10/05/16

EXASOL is a high-performance, in-memory, MPP database specifically designed for in-memory analytics. From business-critical data applications to...

Case Study on Improving Diagnosis Accuracy
09/26/16

Saffron Technology's cognitive platform is used to achieve an unprecedented 90% accuracy rate for differentiating three presenting heart...


Technologies

Trusted Analytics Platform

Trusted Analytics Platform (TAP) is open source software, optimized for performance and security, that accelerates the creation of cloud-native collaboration driven by big data analytics. TAP makes it easier for developers and data scientists at enterprises, cloud service providers, and system integrators by providing a shared, flexible environment for advanced analytics in public and private clouds.

Apache Big Data Stack

At the heart of the big data movement are Apache Hadoop* and Apache Spark*, a fundamentally new way of storing and processing data, discovering patterns, and predicting trends that spark innovation.

SDKs & Tools

The SDK libraries and tools can help speed up big data analytics by providing highly optimized algorithmic building blocks for all data analysis stages.


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