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 English Language Teaching Today by
Cover of the book The Politics of Victimhood in Post-conflict Societies by
Cover of the book Capitalism and Its Legitimacy in Times of Crisis by
Cover of the book Dislocations of Civic Cultural Borderlines by
Cover of the book Capitalising Economic Power in the US by
Cover of the book Practicing Servant Leadership by
Cover of the book Parallel Computing Technologies by
Cover of the book HCI International 2016 – Posters' Extended Abstracts by
Cover of the book Biomimetic Design Method for Innovation and Sustainability by
Cover of the book The Ethics of Research with Human Subjects by
Cover of the book Springer Series in Light Scattering by
Cover of the book The Normal and Pathological Fetal Brain by
Cover of the book Fuzzy Sets and Operations Research by
Cover of the book Electrochemically Engineered Nanoporous Materials by
Cover of the book The Interaction Between Local and International Peacebuilding Actors 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