Big Data Management: Theory and Technology

Luo, Senlin; Pan, Limin

This book systematically and comprehensively explores and discusses the theory and technology of big data analysis. The main topics include the basic concept of big data analytics, its core architecture, the calculation model used, the clash between big data and information security, big data and natural language processing, and big data and biological information processing.

Given its scope, the book can meet the long-term training needs of diverse talents at colleges and universities, as well as teaching and research staff engaged in cyberspace security, computer science and technology, software engineering, artificial intelligence, information and communication engineering, and related disciplines. The book also has essential practical and reference value for all those engaged in research related to big data analytics.

Details

Published by: Springer

Publication Date: 2026-01-31

Format: Hardcover

ISBN-13: 9789819557240

DOI: 10.1007/978-981-95-5725-7

Dimensions: 235cm x155cm

Pages: 427