Encyclopedia of Big Data Technologies

Book Description The Encyclopedia of Big Data Technologies provides researchers, educators, students and industry professionals with a comprehensive authority over the most relevant Big Data Technology concepts. With over 300 articles written by worldwide subject matter experts from both industry and academia, the encyclopedia covers topics such as big data storage systems, NoSQL database, cloud computing, distributed systems, data processing, data management, machine learning and social technologies, data science.  Each peer-reviewed, highly structured entry provides the reader with basic terminology, subject overviews, key research results, application examples, future directions, cross references and a bibliography. The entries are expository and tutorial, making this reference a practical resource for students, academics, or professionals. In addition, the distinguished, international editorial board of the encyclopedia consists of well-respected scholars, each developing topics based upon their expertise.
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Content

Big Data Integration
Big SQL
Big Spatial Data Management
Big Semantic Data Processing
Big Data Analysis
Big Data Programming Models
Big Data on Modern Hardware Systems
Big Data Applications
Enabling Big Data Technologies
Big Data Transaction Processing
Distributed Systems for Big Data
Big Data Security and Privacy
Business Process Analytics
Big Data Benchmarking
Graph data management and analytics
Data Compression
Big Stream Processing