Big Data Concepts

Big Data Concepts, Theories, and Applications  eBooks & eLearning

Posted by naag at Feb. 21, 2017
Big Data Concepts, Theories, and Applications

Big Data Concepts, Theories, and Applications
Springer | Information Systems and Applications | April 4, 2016 | ISBN-10: 3319277618 | 437 pages | Epub | 2.5 mb

Big Data Concepts, Theories, and Applications  eBooks & eLearning

Posted by Underaglassmoon at March 13, 2016
Big Data Concepts, Theories, and Applications

Big Data Concepts, Theories, and Applications
Springer | Information Systems and Applications | April 4, 2016 | ISBN-10: 3319277618 | 437 pages | pdf | 9.81 mb

Editors: Yu, Shui, Guo, Song (Eds.)
Covers multiple disciplines on Big Data
Offers theoretical and technical content for readers in both academia and industry
Presents Big Data framework, architectures, mechanisms, implementations and techniques for the extension of existing platforms (e.g., the cloud)

Photos - Big Data Concepts  Graphics

Posted by posterb at Dec. 16, 2015
Photos - Big Data Concepts

Photos - Big Data Concepts
5 pics | JPG | 7000x4667-8000x4876 | 87.34 Mb

Big Data Fundamentals: Concepts, Drivers & Techniques  eBooks & eLearning

Posted by AlenMiler at Dec. 30, 2015
Big Data Fundamentals: Concepts, Drivers & Techniques

Big Data Fundamentals: Concepts, Drivers & Techniques (The Prentice Hall Service Technology Series from Thomas Erl) by Thomas Erl
English | Jan. 21, 2016 | ISBN: 0134291077 | 240 Pages | AZW3/EPUB/PDF (conv) | 27.34 MB

Big Data Fundamentals provides a pragmatic, no-nonsense introduction to Big Data. Best-selling IT author Thomas Erl and his team clearly explain key Big Data concepts, theory and terminology, as well as fundamental technologies and techniques.
Processing Big Data with Azure HDInsight: Building Real-World Big Data Systems on Azure HDInsight Using the Hadoop Ecosystem

Processing Big Data with Azure HDInsight: Building Real-World Big Data Systems on Azure HDInsight Using the Hadoop Ecosystem By Vinit Yadav
English | PDF | 2017 | 221 Pages | ISBN : 1484228685 | 5.5 MB

Get a jump start on using Azure HDInsight and Hadoop Ecosystem components. As most Hadoop and Big Data projects are written in either Java, Scala, or Python, this book minimizes the effort to learn another language and is written from the perspective of a .NET developer. Hadoop components are covered, including Hive, Pig, HBase, Storm, and Spark on Azure HDInsight, and code samples are written in .NET only.

Big Data Technologies and Applications  eBooks & eLearning

Posted by naag at April 3, 2017
Big Data Technologies and Applications

Big Data Technologies and Applications by Borko Furht and Flavio Villanustre
English | 2016 | ISBN: 3319445480 | 400 pages | EPUB | 3.24 MB

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.

Big Data Technologies and Applications  eBooks & eLearning

Posted by naag at Feb. 20, 2017
Big Data Technologies and Applications

Big Data Technologies and Applications by Borko Furht and Flavio Villanustre
English | 2016 | ISBN: 3319445480 | 400 pages | PDF | 8,4 MB

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.

Big Data: Storage, Sharing, and Security  eBooks & eLearning

Posted by interes at Dec. 9, 2016
Big Data: Storage, Sharing, and Security

Big Data: Storage, Sharing, and Security by Fei Hu
English | 2016 | ISBN: 1498734863 | 463 pages | PDF | 8 MB

Big Data Technologies and Applications  eBooks & eLearning

Posted by interes at Nov. 25, 2016
Big Data Technologies and Applications

Big Data Technologies and Applications by Borko Furht and Flavio Villanustre
English | 2016 | ISBN: 3319445480 | 400 pages | PDF | 8,4 MB

Big Data Computing  eBooks & eLearning

Posted by arundhati at April 23, 2014
Big Data Computing

Rajendra Akerkar, "Big Data Computing"
2014 | ISBN-10: 1466578378 | 564 pages | PDF | 23 MB