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

AI DevCamp:Chicago I write this as an observer of something I had yet to witness. Early in the morning of April 7th, facing bitter cold and a lack of coffee, roughly...
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...
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...
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...


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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