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

Building Large-Scale Image Feature Extraction with BigDL at JD.com This article shares the experience and lessons learned from Intel and JD teams in building a large-scale image feature extraction framework using...
Data Bench: A New Proof-of-Concept Workload for Microservice Transactions Data Bench is a new proof-of-concept workload that can be used to measure the response-time latency of microservice transactions. This is a new type...
Achieving High-Performance Computing with The Intel® Distribution for Python*

Python* has become instrumental tool for those looking for a high productivity language for a variety of programming tasks including advanced...

Intel® Accelerates Hardware and Software Performance for Server-Side Java* Applications Intel® contributes significantly to both software and hardware optimizations for Java*. These optimizations can deliver performance advantages for...
Modernizing Software with Future-Proof Code Optimizations by Henry A. Gabb, Sr. Principal Engineer, Intel Software and Services Group

Technologies

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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