Article

Intel Keynote and Intel technical presentations at Spark Summit West 2015

To find new trends and strong patterns from large complex data sets, a strong analytics foundation is needed. Intel is working closely with Databricks, AMPLab, Spark community and its ecosystem to advance these analytics capabilities…
Authored by Mike P. (Intel) Last updated on 06/07/2017 - 09:33
Article

How to Use Intel® DAAL in Java Applications

Intel® Data Analytics Acceleration Library (Intel® DAAL) provides a Java API and the ease-of-use for Java programmers. This article discusses how to build and run applications with the Eclipse IDE (one of the most popular Java IDEs). The procedures outlined in this article should also be applicable to other Java IDEs. If you want to build and run Java applications from the command line, see...
Authored by Zhang, Zhang (Intel) Last updated on 10/03/2018 - 07:24
Article

A Walk-Through of Online Processing Using Intel® DAAL

Intel® Data Analytics Acceleration Library (Intel® DAAL) is a new highly optimized library targeting data mining, statistical analysis, and machine learning applications. It provides advanced building blocks supporting all data analysis stages. Intel DAAL supports three processing modes, batch processing, online processing, and distributed processing. Online processing, a.k.a. streaming, is...
Authored by Zhang, Zhang (Intel) Last updated on 06/07/2017 - 10:33
Article

A Walk-Through of Distributed Processing Using Intel® DAAL

Intel® Data Analytics Acceleration Library (Intel® DAAL) is a new highly optimized library targeting data mining, statistical analysis, and machine learning applications. It provides advanced building blocks supporting all data analysis stages (preprocessing, transformation, analysis, modeling, decision making) for offline, streaming and distributed analytics usages. Intel DAAL support...
Authored by Ying H. (Intel) Last updated on 10/04/2018 - 04:16
Article

A Tutorial on the Java API of Intel® Data Analytics Acceleration Library

Intel® DAAL is a part of Intel® Parallel Studio XE 2016, a developer toolkit for HPC and technical computing applications. Intel® DAAL is a powerful library for big data developers that turns large data clusters into meaningful information with advanced analytics algorithms. In this tutorial, we will see how to build and run Intel® DAAL Java examples included in the package.
Authored by Zhang, Zhang (Intel) Last updated on 07/06/2019 - 10:54
Article

Tuning Java* Garbage Collection for Spark* Applications

Spark is gaining wide industry adoption due to its superior performance, simple interfaces, and a rich library for analysis and calculation.

Authored by Mike P. (Intel) Last updated on 05/10/2019 - 08:30
Article

A Mission-Critical Big Data Platform for the Real-Time Enterprise

As the volume and velocity of enterprise data continue to grow, extracting high-value insight is becoming more challenging and more important. Businesses that can analyze fresh operational data instantly—without the delays of traditional data warehouses and data marts—can make the right decisions faster to deliver better outcomes.
Authored by Nguyen, Khang T (Intel) Last updated on 07/06/2019 - 16:40
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
Article

Open Source Project: Intel® Data Analytics Acceleration Library (Intel® DAAL)

Intel has created a data analytics acceleration project on github, to help accelerate data analytic

Authored by James R. (Blackbelt) Last updated on 05/30/2018 - 07:00
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