Real-Time & Stream Data Management: Push-Based Data in Research & Practice (SpringerBriefs in Computer Science)

Wolfram Wingerath, Norbert Ritter, Felix Gessert

  • 出版商: Springer
  • 出版日期: 2019-01-14
  • 售價: $2,460
  • 貴賓價: 9.5$2,337
  • 語言: 英文
  • 頁數: 77
  • 裝訂: Paperback
  • ISBN: 3030105547
  • ISBN-13: 9783030105549
  • 相關分類: Computer-Science 計算機概論

下單後立即進貨 (約1週~2週)

商品描述

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,