文件名称：Real-Time & Stream Data Management
文件大小：2.25MB
文件格式：PDF
更新时间：2022-02-23 05:57:07
design
Real-Time & Stream Data Management: Push-Based Data in Research & Practice (SpringerBriefs in Computer Science) By 作者: Wolfram Wingerath ISBN-10 书号: 3030105547 ISBN-13 书号: 9783030105549 Edition 版本: 1st ed. 出版日期: 2019-01-03 pages 页数: (88 ) $69.99 While traditional databases excel at complex queries over historical data, they are inherently pull-based and therefore ill-equipped to push new information to clients. Systems for data stream management and processing, on the other hand, are natively pushoriented and thus facilitate reactive behavior. However, they do not retain data indefinitely and are therefore not able to answer historical queries. The book will first provide an overview over the different (push-based) mechanisms for data retrieval in each system class and the semantic differences between them. It will also provide a comprehensive overview over the current state of the art in real-time databases. It will first include an in-depth system survey of today’s real-time databases: Firebase, Meteor, RethinkDB, Parse, Baqend, and others. Second, the high-level classification scheme illustrated above provides a gentle introduction into the system space of data management: Abstracting from the extreme system diversity in this field, Cover Front Matter 1.An Introduction to Real-Time Data Management 2.Database Management3.Real-Time Databases 4.Data Stream Management 5.General-Purpose Stream Processing 6.State of the Art and Future Directions