Big Data Technologies and Applications

Big Data Technologies and Applications
Author :
Publisher : Springer
Total Pages : 405
Release :
ISBN-10 : 9783319445502
ISBN-13 : 3319445502
Rating : 4/5 (502 Downloads)

Book Synopsis Big Data Technologies and Applications by : Borko Furht

Download or read book Big Data Technologies and Applications written by Borko Furht and published by Springer. This book was released on 2016-09-16 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Big Data Technologies and Applications Related Books

Big Data Technologies and Applications
Language: en
Pages: 405
Authors: Borko Furht
Categories: Computers
Type: BOOK - Published: 2016-09-16 - Publisher: Springer

DOWNLOAD EBOOK

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
Distributed Computing in Big Data Analytics
Language: en
Pages: 166
Authors: Sourav Mazumder
Categories: Computers
Type: BOOK - Published: 2017-08-29 - Publisher: Springer

DOWNLOAD EBOOK

Big data technologies are used to achieve any type of analytics in a fast and predictable way, thus enabling better human and machine level decision making. Pri
Big Data
Language: en
Pages: 368
Authors: Balamurugan Balusamy
Categories: Mathematics
Type: BOOK - Published: 2021-03-15 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Learn Big Data from the ground up with this complete and up-to-date resource from leaders in the field Big Data: Concepts, Technology, and Architecture delivers
Big Data: Concepts, Methodologies, Tools, and Applications
Language: en
Pages: 2523
Authors: Management Association, Information Resources
Categories: Computers
Type: BOOK - Published: 2016-04-20 - Publisher: IGI Global

DOWNLOAD EBOOK

The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected infor
Machine Learning and Big Data
Language: en
Pages: 544
Authors: Uma N. Dulhare
Categories: Computers
Type: BOOK - Published: 2020-09-01 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

This book is intended for academic and industrial developers, exploring and developing applications in the area of big data and machine learning, including thos