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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
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Vector API Developer Program for Java* Software

This article introduces Vector API to Java* developers. It shows how to start using the API in Java programs, and provides examples of vector algorithms. It provides step-by-step details on how to build the Vector API and build Java applications using it. It provides the location for downloadable binaries for Project Panama binaries.
Authored by Neil V. (Intel) Last updated on 07/06/2019 - 16:30
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Intel® Accelerates Hardware and Software Performance for Server-Side Java* Applications

Intel® contributes significantly to both software and hardware optimizations for Java*.

Authored by Mike P. (Intel) Last updated on 07/06/2019 - 16:30
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Performance and Agility with Big Data in a Containerized Environment

Big data analytics solution developers no longer need to choose between performance and agility.
Authored by Michael G. (Intel) Last updated on 08/01/2019 - 10:32
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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 08/27/2019 - 13:50
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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 08/27/2019 - 13:50
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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 08/27/2019 - 13:50