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Large Scale and Big Data: Processing and Management

Author(s) Name:  Sherif Sakr, Mohamed Gaber

About the Book:

   Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques currently available for large-scale data processing. Presenting chapters written by leading researchers, academics, and practitioners, it addresses the fundamental challenges associated with Big Data processing tools and techniques across a range of computing environments.
   The book begins by discussing the basic concepts and tools of large-scale Big Data processing and cloud computing. It also provides an overview of different programming models and cloud-based deployment models. The book-s second section examines the usage of advanced Big Data processing techniques in different domains, including semantic web, graph processing, and stream processing. The third section discusses advanced topics of Big Data processing such as consistency management, privacy, and security.

Table of Contents

  • Distributed Programming for the Cloud: Models, Challenges, and Analytics Engines
  • MapReduce Family of Large-Scale Data-Processing Systems
  • Incremental MapReduce Computations
  • Large-Scale RDF Processing with MapReduce
  • Algebraic Optimization of RDF Graph Pattern Queries on MapReduce
  • Advanced Algorithms for Efficient Approximate Duplicate Detection in Data Streams Using Bloom Filters
  • Recommending Environmental Big Data Using Semantically Guided Machine Learning
  • ISBN:  9781466581500

    Publisher:  Auerbach Publications

    Year of Publication:  2014

    Book Link:  Home Page Url