Blog post

Experience and Lessons Learned for Large-Scale Graph Analysis using GraphX

While GraphX provides nice abstractions and dataflow optimizations for parallel graph processing on top of Apache Spark*, there are still many challenges in app

Authored by Mike P. (Intel) Last updated on 06/14/2017 - 15:44
Video

Intel® Big Data & Analytics Software Overview

This video animation provides an overview of Intel® Software contributions to Big Data & Analytics.

Authored by admin Last updated on 06/14/2017 - 08:53
Article

OpenStack App Developer Survey

As part of a long-term commitment to enhance ease-of-use, the OpenStack UX project, with support of the OpenStack Foundation and the Technical Committee, is now bu

Authored by Mike P. (Intel) Last updated on 06/07/2017 - 12:14
Video

英特尔® 大数据和分析软件概述

This video animation provides an overview of Intel® Software contributions to Big Data & Analytics.

Authored by IDZSupport K. Last updated on 01/16/2019 - 00:50
Blog post

按照使用案例开始使用 Tachyon

In-memory computing has become an irreversible trend in big data technology, for which the wide popularity of Spark provides a good evidence. Meanwhile, memory storage and management for large data sets are still posing challenges. Out of numerous solutions, Tachyon, a memory-centric distributed storage, well solves the problems faced by many application scenarios. For example, it avoids severe...
Authored by Last updated on 06/07/2019 - 16:00
Blog post

Getting Started with Tachyon by Use Cases

In-memory computing has become an irreversible trend in big data technology, for which the wide popularity of Spark provides a good evidence. Meanwhile, memory storage and management for large data sets are still posing challenges. Out of numerous solutions, Tachyon, a memory-centric distributed storage, well solves the problems faced by many application scenarios. For example, it avoids severe...
Authored by Last updated on 06/07/2019 - 16:01
Article

在容器化环境中提升大数据的性能与灵活性

Authored by Michael G. (Intel) Last updated on 07/04/2019 - 11:02
Blog post

The JITter Conundrum - Just in Time for Your Traffic Jam

In interpreted languages, it just takes longer to get stuff done - I earlier gave the example where the Python source code a = b + c would result in a BINARY_ADD byte code which takes 78 machine instructions to do the add, but it's a single native ADD instruction if run in compiled language like C or C++. How can we speed this up? Or as the performance expert would say, how do I decrease...
Authored by David S. (Blackbelt) Last updated on 07/04/2019 - 20:00
Article

Intel® Data Analytics Acceleration Library - Decision Trees

Decision trees method is one of most popular approaches in machine learning. They can easily be used to solve different classification and regression tasks.
Authored by Gennady F. (Blackbelt) Last updated on 07/06/2019 - 10:58
Article

Tutorial for Intel® DAAL : Using Simple Java* Examples

System Environment

Intel® DAAL version : 2016 Gold Initial Release (w_daal_2016.0.110.exe)

OS : Windows 8.1

Authored by JON J K. (Intel) Last updated on 07/06/2019 - 11:41