Big Data Computing
1st Edition
Published on 2. October 2019
Book
Paperback/Softback
564 pages
978-0-367-37911-7 (ISBN)
Description
Due to market forces and technological evolution, Big Data computing is developing at an increasing rate. A wide variety of novel approaches and tools have emerged to tackle the challenges of Big Data, creating both more opportunities and more challenges for students and professionals in the field of data computation and analysis.
Presenting a mix of industry cases and theory, Big Data Computing discusses the technical and practical issues related to Big Data in intelligent information management. Emphasizing the adoption and diffusion of Big Data tools and technologies in industry, the book introduces a broad range of Big Data concepts, tools, and techniques. It covers a wide range of research, and provides comparisons between state-of-the-art approaches.
Comprised of five sections, the book focuses on:
What Big Data is and why it is important
Semantic technologies
Tools and methods
Business and economic perspectives
Big Data applications across industries
Presenting a mix of industry cases and theory, Big Data Computing discusses the technical and practical issues related to Big Data in intelligent information management. Emphasizing the adoption and diffusion of Big Data tools and technologies in industry, the book introduces a broad range of Big Data concepts, tools, and techniques. It covers a wide range of research, and provides comparisons between state-of-the-art approaches.
Comprised of five sections, the book focuses on:
What Big Data is and why it is important
Semantic technologies
Tools and methods
Business and economic perspectives
Big Data applications across industries
More details
Language
English
Place of publication
Oxford
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Professional Practice & Development
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 30 mm
Weight
848 gr
ISBN-13
978-0-367-37911-7 (9780367379117)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Rajendra Akerkar
Big Data Computing
Book
12/2013
1st Edition
CRC Press
€198.50
Shipment within 15-20 days
Rajendra Akerkar
Big Data Computing
E-Book
12/2013
1st Edition
Chapman & Hall/CRC
€69.99
Available for download
Person
Rajendra Akerkar
Content
Introduction: Toward Evolving Knowledge Ecosystems for Big Data Understanding. Tassonomy and Review of Big Data Solutions Navigation. Big Data: Challenges and Opportunities. Semantic Technologies and Big Data: Management of Big Semantic Data. Linked Data in Enterprise Integration. Scalable End-User Access to Big Data. Semantic Data Interoperability: The Key Problem of Big Data. Big Data Processing: Big Data Exploration. Big Data Processing with MapReduce. Efficient Processing of Stream Data over Persistent Data. Big Data and Business: The Economics of Big Data: A Value Perspective on State of the Art and Future Trends. Advanced Data Analytics for Business. Big Data Applications: Big Social Data Analysis. Real-Time Big Data Processing for Domain Experts: An Application to Smart Buildings. Big Data Application: Analyzing Real-Time Electric Meter Data. Scaling of Geographic Space from the Perspective of City and Field Blocks and Using Volunteered Geographic Information. Big Textual Data Analytics and Knowledge Management.