Real-Time & Stream Data Management: Push-Based Data in Research & Practice

Book Description

While traditional excel at complex queries over historical data, they are inherently pull-based and therefore ill-equipped to push new to clients. for data stream and processing, on the other hand, are natively push­oriented and thus facilitate reactive . 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 : Abstracting from the extreme system diversity in this field,

Book Details

  • Title: Real-Time & Stream Data Management: Push-Based Data in Research & Practice
  • Author: , ,
  • Length: 77 pages
  • Edition: 1st ed. 2019
  • Language: English
  • Publisher:
  • Publication Date: 2019-03-03
  • ISBN-10: 3030105547
  • ISBN-13: 9783030105549
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