Big Data Technologies and Applications

Name: Big Data Technologies and Applications
Brand: Springer International Publishing AG
SKU: 9783319445489
Price: 49803 HUF
Availability: InStock

Szerző: Borko Furht, Flavio Villanustre

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer International Publishing AG

Elérhetőség: Beszállítói készleten

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The objective of this book is to introduce the basic concepts of big data computing and then to desc...

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Szerző

Borko Furht, Flavio Villanustre

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2016

oldal

400

EAN

9783319445489

ISBN

3319445480

Enbook ID

13633694

Kiadó

Springer International Publishing AG

Súly

7509

Méretek

155 x 235 x 29

Teljes leírás

The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform. § The book comprises 15 chapters broken into three parts. The first part, Big Data Technologies , includes introductions to big data concepts and techniques; big data analytics; and visualization and learning techniques. The second part, LexisNexis Risk Solution to Big Data , focuses on specific technologies and techniques developed at LexisNexis to solve critical problems that use big data analytics. It covers the open source High Performance Computing Cluster (HPCC Systems®) platform and its architecture, as well as parallel data languages ECL and KEL, developed to effectively solve big data problems. The third part, Big Data Applications , describes various data intensive applications solved on HPCC Systems. It includes applications such as cyber security, social network analytics including fraud, Ebola spread modeling using big data analytics, unsupervised learning, and image classification. § The book is intended for a wide variety of people including researchers, scientists, programmers, engineers, designers, developers, educators, and students. This book can also be beneficial for business managers, entrepreneurs, and investors. §§

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Big Data Technologies and Applications

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