Handbook of Big Data Technologies

Nonfiction, Computers, Computer Hardware, Input-Output Equipment, Science & Nature, Technology, Telecommunications, General Computing
Cover of the book Handbook of Big Data Technologies by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319493404
Publisher: Springer International Publishing Publication: February 25, 2017
Imprint: Springer Language: English
Author:
ISBN: 9783319493404
Publisher: Springer International Publishing
Publication: February 25, 2017
Imprint: Springer
Language: English

This handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms.  Chapters are authored by international leading experts in the field, and have been reviewed and revised for maximum reader value. The volume consists of twenty-five chapters organized into four main parts. Part one covers the fundamental concepts of Big Data technologies including data curation mechanisms, data models, storage models, programming models and programming platforms. It also dives into the details of implementing Big SQL query engines and big stream processing systems.  Part Two focuses on the semantic aspects of Big Data management including data integration and exploratory ad hoc analysis in addition to structured querying and pattern matching techniques.  Part Three presents a comprehensive overview of large scale graph processing. It covers the most recent research in large scale graph processing platforms, introducing several scalable graph querying and mining mechanisms in domains such as social networks.  Part Four details novel applications that have been made possible by the rapid emergence of Big Data technologies such as Internet-of-Things (IOT), Cognitive Computing and SCADA Systems.  All parts of the book discuss open research problems, including potential opportunities, that have arisen from the rapid progress of Big Data technologies and the associated increasing requirements of application domains. 

Designed for researchers, IT professionals and graduate students, this book is a timely contribution to the growing Big Data field. Big Data has been recognized as one of leading emerging technologies that will have a major contribution and impact on the various fields of science and varies aspect of the human society over the coming decades. Therefore, the content in this book will be an essential tool to help readers understand the development and future of the field.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms.  Chapters are authored by international leading experts in the field, and have been reviewed and revised for maximum reader value. The volume consists of twenty-five chapters organized into four main parts. Part one covers the fundamental concepts of Big Data technologies including data curation mechanisms, data models, storage models, programming models and programming platforms. It also dives into the details of implementing Big SQL query engines and big stream processing systems.  Part Two focuses on the semantic aspects of Big Data management including data integration and exploratory ad hoc analysis in addition to structured querying and pattern matching techniques.  Part Three presents a comprehensive overview of large scale graph processing. It covers the most recent research in large scale graph processing platforms, introducing several scalable graph querying and mining mechanisms in domains such as social networks.  Part Four details novel applications that have been made possible by the rapid emergence of Big Data technologies such as Internet-of-Things (IOT), Cognitive Computing and SCADA Systems.  All parts of the book discuss open research problems, including potential opportunities, that have arisen from the rapid progress of Big Data technologies and the associated increasing requirements of application domains. 

Designed for researchers, IT professionals and graduate students, this book is a timely contribution to the growing Big Data field. Big Data has been recognized as one of leading emerging technologies that will have a major contribution and impact on the various fields of science and varies aspect of the human society over the coming decades. Therefore, the content in this book will be an essential tool to help readers understand the development and future of the field.

More books from Springer International Publishing

Cover of the book Scientific Peer Reviewing by
Cover of the book Stereoselective Heterocycle Synthesis via Alkene Difunctionalization by
Cover of the book European Energy and Climate Security by
Cover of the book Rethinking Fisheries Governance by
Cover of the book Applied Computer Sciences in Engineering by
Cover of the book Distributed Computing and Internet Technology by
Cover of the book Nonlinear Dynamics, Volume 1 by
Cover of the book State Building and National Identity Reconstruction in the Horn of Africa by
Cover of the book Nursing: Health Education and Improving Patient Self-Management by
Cover of the book Frontiers in Statistical Quality Control 12 by
Cover of the book Reversible Logic Synthesis Methodologies with Application to Quantum Computing by
Cover of the book Christian and Jewish Women in Britain, 1880-1940 by
Cover of the book Quality Assurance in Asia-Pacific Universities by
Cover of the book Time Machine Tales by
Cover of the book Adaptation in Visual Culture by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy