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Big Data Computing

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Adaptive Indexing
advanced semantic data management
analytics
Big Data
Big Data Computing
Big Data Solutions
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cloud
Data Sets
database
Disk Buffer
Distributed File System
enterprise data integration
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Gps Trace
Hash Table
Knowledge Life Cycles
linked
Lo Ca
management
mapreduce methodology
Ontology Development Methodology
Ontology Development Process
Owl Dl
planning
query
Query Answering
Raw File
RDF Data
RDF Data Set
RDF Graph
relational
Semantic Data
Semantic Enrichment
Semantic Interoperability
semantic web technologies
smart building applications
sparql
State Information Systems
stream data processing
systems
Triple Patterns
value-driven analytics
Volunteered Geographic Information

Product details

  • ISBN 9780367379117
  • Weight: 766g
  • Dimensions: 156 x 234mm
  • Publication Date: 02 Oct 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Description

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.

Presenting a mix of industry cases and theory, Big Data Computing discusses the technical and practical issues related to Big Data in intelligent information management. Emphasizing 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.

Comprised of five sections, the book focuses on:



  • What Big Data is and why it is important


  • Semantic technologies


  • Tools and methods


  • Business and economic perspectives


  • Big Data applications across industries
About
Rajendra Akerkar