Big Data

Concepts, Methodologies, Tools, and Applications

Nonfiction, Computers, Database Management, General Computing
Cover of the book Big Data by , IGI Global
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781466698420
Publisher: IGI Global Publication: April 20, 2016
Imprint: Information Science Reference Language: English
Author:
ISBN: 9781466698420
Publisher: IGI Global
Publication: April 20, 2016
Imprint: Information Science Reference
Language: English
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 information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
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 information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics.

More books from IGI Global

Cover of the book Improving Knowledge Discovery through the Integration of Data Mining Techniques by
Cover of the book Innovative Solutions in Fluid-Particle Systems and Renewable Energy Management by
Cover of the book Work-Integrated Learning in Engineering, Built Environment and Technology by
Cover of the book Theoretical and Technological Advancements in Nanotechnology and Molecular Computation by
Cover of the book Effective Standardization Management in Corporate Settings by
Cover of the book Decision Theory Models for Applications in Artificial Intelligence by
Cover of the book Digital Forensics for the Health Sciences by
Cover of the book The Future of Accessibility in International Higher Education by
Cover of the book Strategic Role of Tertiary Education and Technologies for Sustainable Competitive Advantage by
Cover of the book Assessing the Role of Mobile Technologies and Distance Learning in Higher Education by
Cover of the book Securing Critical Infrastructures and Critical Control Systems by
Cover of the book Library Reference Services and Information Literacy by
Cover of the book Integrated Models for Information Communication Systems and Networks by
Cover of the book Multifaceted Approach to Digital Addiction and Its Treatment by
Cover of the book Dynamic Models for Knowledge-Driven Organizations 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