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عنوان
Real-time & stream data management :

پدید آورنده
Wolfram Wingerath, Norbert Ritter, Felix Gessert.

موضوع
Big data.,Database management.,Push technology (Computer networks),Big data.,Database management.,Push technology (Computer networks)

رده
QA76
.
9
.
D3

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
3030105555
(Number (ISBN
3030105563
(Number (ISBN
9783030105556
(Number (ISBN
9783030105563
Erroneous ISBN
3030105547
Erroneous ISBN
9783030105549

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Real-time & stream data management :
General Material Designation
[Book]
Other Title Information
push-based data in research & practice /
First Statement of Responsibility
Wolfram Wingerath, Norbert Ritter, Felix Gessert.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Cham, Switzerland :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
2019.

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
1 online resource (ix, 77 pages) :
Other Physical Details
illustrations (some color)

SERIES

Series Title
SpringerBriefs in computer science,
ISSN of Series
2191-5768

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references.

CONTENTS NOTE

Text of Note
Intro; Preface; Contents; About the Authors; 1 An Introduction to Real-Time Data Management; 1.1 A Brief History of Data Management; 1.2 Data Access: Pull vs. Push; 1.3 Query Semantics: Collections vs. Streams; 1.4 Chapter Outline; References; 2 Database Management; 2.1 Triggers and Active Databases; 2.2 Change Data Capture, Cache Coherence, and Time-Series Data; 2.3 Materialized Views; 2.4 Change Notifications; 2.5 Summary and Discussion; References; 3 Real-Time Databases; 3.1 What Is a Real-Time Database?; 3.2 What Is a Real-Time Query?; 3.3 System Landscape; 3.3.1 Meteor
Text of Note
5.2 Batch vs. Stream Processing5.3 State-of-the-Art Stream Processing Frameworks; 5.3.1 Storm; Storm Trident; 5.3.2 Samza; 5.3.3 Spark Streaming; 5.3.4 Flink; 5.3.5 Further Systems; 5.4 Design Decisions and Trade-Offs; 5.5 Summary and Discussion; References; 6 State of the Art and Future Directions; 6.1 The Big Picture; 6.2 Real-Time Databases: A New Paradigm for Data Management; 6.3 Closing Thoughts; Reference
Text of Note
Change Monitoring + Poll-and-DiffOplog Tailing; 3.3.2 RethinkDB; Changefeeds; 3.3.3 Parse; Live Queries; 3.3.4 Firebase; Data Modeling and Querying; Advanced Queries with Firestore; 3.3.5 Baqend; Two-Dimensional Workload Partitioning for Linear Scalability; 3.3.6 Further Systems; 3.4 Summary and Discussion; References; 4 Data Stream Management; 4.1 Queries Over Streams; 4.2 Notions of Time; 4.3 Windowing and Approximation; 4.4 Complex Event Processing; 4.5 Messaging Middleware; 4.6 Summary and Discussion; References; 5 General-Purpose Stream Processing; 5.1 Architectural Patterns
0
8
8

SUMMARY OR ABSTRACT

Text of Note
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 push?oriented 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, it helps readers build a mental model of the available options.

ACQUISITION INFORMATION NOTE

Source for Acquisition/Subscription Address
Springer Nature
Stock Number
com.springer.onix.9783030105556

OTHER EDITION IN ANOTHER MEDIUM

Title
Real-time & stream data management.
International Standard Book Number
9783030105549

TOPICAL NAME USED AS SUBJECT

Big data.
Database management.
Push technology (Computer networks)
Big data.
Database management.
Push technology (Computer networks)

(SUBJECT CATEGORY (Provisional

COM030000
UND
UNH
UNH

DEWEY DECIMAL CLASSIFICATION

Number
005
.
74
Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
QA76
.
9
.
D3

PERSONAL NAME - PRIMARY RESPONSIBILITY

Wingerath, Wolfram

PERSONAL NAME - ALTERNATIVE RESPONSIBILITY

Gessert, Felix
Ritter, Norbert

ORIGINATING SOURCE

Date of Transaction
20200823082400.0
Cataloguing Rules (Descriptive Conventions))
pn

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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