About the Book:
The book discusses the technical and practical issues related to Big Data in intelligent information management. Emphasizes 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.
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.
Table of Contents
Toward Evolving Knowledge Ecosystems for Big Data UnderstandingTassonomy and Review of Big Data Solutions NavigationBig Data: Challenges and OpportunitiesManagement of Big Semantic DataLinked Data in Enterprise IntegrationScalable End-User Access to Big DataSemantic Data Interoperability: The Key Problem of Big DataBig Data Processing with MapReduceEfficient Processing of Stream Data over Persistent DataThe Economics of Big Data: A Value Perspective on State of the Art and Future TrendsAdvanced Data Analytics for BusinessBig Social Data Analysis
