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Article

Hadoop and HBase Optimization for Read Intensive Search Applications

by Abinasha Karana, DirectorBizosys Technologies Pvt Ltd, Bangalore

Автор: Последнее обновление: 06.07.2019 - 16:30
Блоги

RTFB Episode 8 with Thai Le: Optimizing Cloud Performance on Intel(r) Architecture

Автор: Gael H. (Blackbelt) Последнее обновление: 22.02.2019 - 16:10
Article

Intel and Qihoo 360 Internet Portal Datacenter - Big Data Storage Optimization Case Study

The adoption of cloud computing creates many challenges and opportunities in big data management and storage.

Автор: David Mulnix (Intel) Последнее обновление: 06.07.2019 - 10:47
Блоги

Optimizing Big Data processing with Haswell 256-bit Integer SIMD instructions

Big Data requires processing huge amounts of data. Intel Advanced Vector Extensions 2 (aka AVX2) promoted most Intel AVX 128-bits integer SIMD instruction sets to 256-bits.

Автор: gaston-hillar (Blackbelt) Последнее обновление: 06.07.2019 - 17:00
Блоги

Part #1 - Tuning Java Garbage Collection for HBase

Part #1 of a multi-parts post, we will take a look on how to tune Java garbage collection (GC) for HBase focusing on 100% YCSB reads. In part #2, we will look at 100% writes and finally in part #3, we will tune Java GC for a mix of 50/50 read/writes. As already mentioned, we are using YCSB which seems to be the de facto NoSQL workload. We wont go into much details on how to install, configure...
Автор: Eric Kaczmarek (Intel) Последнее обновление: 14.06.2017 - 16:10
Видео

Intel Software Optimization of Java* Virtual Machine and OpenJDK Community Announcement (OOW '14)

At Oracle OpenWorld 2014, Michael Greene talks about the role of his organization in helping optimize the Java* Virtual Machine and Intel's announcement that it is joining the Java OpenJDK communit

Автор: Последнее обновление: 27.03.2019 - 14:04
Видео

Big Data Java Optimization

This video provides overview of Java programming language and its benefits to enterprise applications.

Автор: админ Последнее обновление: 14.06.2017 - 08:55
Видео

Making Big Data and Analytics a reality today

Intel® delivers the performance needed to enable new levels of Apache* Spark* analytics on Intel® Xeon® platforms with Facial Recognition using Apache* Spark* and Apache* Hadoop* technologies.

Автор: Gerald M. (Intel) Последнее обновление: 22.02.2019 - 16:10
Article

Intel® Xeon® Processor E7-8800/4800 V3 Product Family Technical Overview

Contents

1.     Executive Summary2.     Introduction

Автор: Последнее обновление: 06.07.2019 - 16:40
Article

A Tutorial on the C++ 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 C++ examples included in the package.
Автор: Zhang, Zhang (Intel) Последнее обновление: 06.07.2019 - 10:53