Fast and scalable cloud data management / Felix Gessert, Wolfram Wingerath, Norbert Ritter.
Gessert, Felix.; Wingerath, Wolfram.; Ritter, Norbert.
2020
QA76.585
Available Online

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Title Fast and scalable cloud data management / Felix Gessert, Wolfram Wingerath, Norbert Ritter.
Author Gessert, Felix.
ISBN 9783030435066 (electronic book)
3030435067 (electronic book)
9783030435059
3030435059
DOI https://doi.org/10.1007/978-3-030-43
https://doi.org/10.1007/978-3-030-43506-6
Publication Details Cham : Springer, 2020.
Language English
Description 1 online resource (199 pages)
Item Number 10.1007/978-3-030-43
10.1007/978-3-030-43506-6 doi
Call Number QA76.585
Dewey Decimal Classification 004.67/82
Summary The unprecedented scale at which data is both produced and consumed today has generated a large demand for scalable data management solutions facilitating fast access from all over the world. As one consequence, a plethora of non-relational, distributed NoSQL database systems have risen in recent years and todays data management system landscape has thus become somewhat hard to overlook. As another consequence, complex polyglot designs and elaborate schemes for data distribution and delivery have become the norm for building applications that connect users and organizations across the globe - but choosing the right combination of systems for a given use case has become increasingly difficult as well. To help practitioners stay on top of that challenge, this book presents a comprehensive overview and classification of the current system landscape in cloud data management as well as a survey of the state-of-the-art approaches for efficient data distribution and delivery to end-user devices. The topics covered thus range from NoSQL storage systems and polyglot architectures (backend) over distributed transactions and Web caching (network) to data access and rendering performance in the client (end-user). By distinguishing popular data management systems by data model, consistency guarantees, and other dimensions of interest, this book provides an abstract framework for reasoning about the overall design space and the individual positions claimed by each of the systems therein. Building on this classification, this book further presents an application-driven decision guidance tool that breaks the process of choosing a set of viable system candidates for a given application scenario down into a straightforward decision tree.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Description based on print version record.
Added Author Wingerath, Wolfram.
Ritter, Norbert.
Available in Other Form Fast and Scalable Cloud Data Management
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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Preface
1 Introduction
2 Latency in Cloud-Based Applications
3 HTTP for Globally Distributed Applications
4 Systems for Scalable Data Management
5 Caching in Research & Industry
6 Transactional Semantics.-7 Polyglot Persistence in Data Management
8 The NoSQL Toolbox: The NoSQL Landscape in a Nutshell
9 Summary & Future Trends.

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