Handbook of Research on Big Data Storage and Visualization Techniques

Nonfiction, Computers, Database Management, General Computing
Cover of the book Handbook of Research on Big Data Storage and Visualization Techniques by , IGI Global
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781522531449
Publisher: IGI Global Publication: January 5, 2018
Imprint: Engineering Science Reference Language: English
Author:
ISBN: 9781522531449
Publisher: IGI Global
Publication: January 5, 2018
Imprint: Engineering 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. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.

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. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.

More books from IGI Global

Cover of the book New Age Admissions Strategies in Business Schools by
Cover of the book Using Technology Tools to Innovate Assessment, Reporting, and Teaching Practices in Engineering Education by
Cover of the book Driving Tourism through Creative Destinations and Activities by
Cover of the book Handbook of Research on Teacher Education and Professional Development by
Cover of the book Innovations in Organizational IT Specification and Standards Development by
Cover of the book Open-Source Technologies for Maximizing the Creation, Deployment, and Use of Digital Resources and Information by
Cover of the book Mathematical Concepts and Applications in Mechanical Engineering and Mechatronics by
Cover of the book Workforce Development Theory and Practice in the Mental Health Sector by
Cover of the book Emerging Research and Trends in Interactivity and the Human-Computer Interface by
Cover of the book Global Applications of Pervasive and Ubiquitous Computing by
Cover of the book Strategic Role of Tertiary Education and Technologies for Sustainable Competitive Advantage by
Cover of the book Advances in System Dynamics and Control by
Cover of the book ICT Ethics and Security in the 21st Century by
Cover of the book Handbook of Research on Advanced ICT Integration for Governance and Policy Modeling by
Cover of the book Psychology, Pedagogy, and Assessment in Serious Games 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