Encyclopedia of big data technologies
Author(s)
Bibliographic Information
Encyclopedia of big data technologies
（Springer reference）
Springer, c2019
- v. 1 : A-G
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Note
Includes bibliographical references
"With 429 figures and 54 tables"--T.p.
Description and Table of Contents
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.
Table of Contents
- 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 PrivacyBusiness Process Analytics
- Big Data Benchmarking
- Graph data management and analytics
- Data Compression
- Big Stream Processing
by "Nielsen BookData"
