Web-scale data management for the cloud

Bibliographische Detailangaben

Titel
Web-scale data management for the cloud
verantwortlich
Lehner, Wolfgang (VerfasserIn); Sattler, Kai-Uwe (Sonstige)
veröffentlicht
New York [u.a.]: Springer, 2013
Online-Ausg.. [S.l.]: eblib, 2013
Erscheinungsjahr
2013
Teil von
EBL-Schweitzer
Druckausg.
Lehner, Wolfgang, 1969 - , Web-scale data management for the cloud, New York, NY [u.a.] : Springer, 2013, XV, 193 S.
Andere Ausgaben
Web-Scale Data Management for the Cloud
Medientyp
E-Book
Datenquelle
K10plus Verbundkatalog
Tags
Tag hinzufügen

Zugang

Weitere Informationen sehen Sie, wenn Sie angemeldet sind. Noch keinen Account? Jetzt registrieren.

Zusammenfassung
Web-Scale Data Management for the Cloud; Preface; Acknowledgements; Contents; Chapter1 Data Cloudification; 1.1 Big Data, Big Problems; 1.2 Classic Database Solutions as an Alternative; 1.3 Cloud Computing; 1.4 Data Management and Cloud Computing; 1.5 Summary; References; Chapter2 Virtualization for Data Management Services; 2.1 Core Concepts of Virtualization; 2.1.1 Limits of Virtualization; 2.1.2 Use Cases for Virtualization; 2.1.3 Summary; 2.2 Virtualization Stack; 2.3 Hardware Virtualization; 2.3.1 Machine Virtualization; 2.3.2 Virtual Storage; 2.4 Schema Virtualization; 2.4.1 Sharing
2.4.2 Customization2.5 Configuring the Virtualization; 2.6 Summary; References; Chapter3 Transactional Data Management Services for the Cloud; 3.1 Foundations; 3.1.1 Transaction Processing; 3.1.2 Brewer's CAP Theorem and the BASE Principle; 3.2 Consistency Models; 3.3 Data Fragmentation; 3.3.1 Classification of Fragmentation Strategies; 3.3.2 Horizontal Versus Vertical Fragmentation; 3.3.3 Consistent Hashing; 3.4 Data Replication; 3.4.1 Classification of Replication Strategies; 3.4.2 Classic Replication Protocols; 3.4.3 Optimistic Replication; 3.4.4 Conflict Detection and Repair
3.4.5 Epidemic Propagation3.5 Consensus Protocols; 3.6 Summary; References; Chapter4 Web-Scale Analytics for BIG Data; 4.1 Foundations; 4.1.1 Query Processing; 4.1.2 Parallel Data Processing; 4.1.3 Fault Tolerance; 4.2 The MapReduce Paradigm; 4.2.1 The MapReduce Programming Model; 4.2.1.1 Basic MapReduce Programming; 4.2.2 The MapReduce Execution Model; 4.2.3 Expressing Relational Operators in MapReduce; 4.2.4 Expressing Complex Operators in MapReduce; 4.2.5 MapReduce Shortcomings and Enhancements; 4.2.6 Alternative Model: DAG Dataflows; 4.3 Declarative Query Languages; 4.3.1 Pig; 4.3.2 JAQL
4.3.3 Hive4.4 Summary; References; Chapter5 Cloud-Specific Services for Data Management; 5.1 Service Level Agreements; 5.1.1 The Notion of QoS and SLA; 5.1.2 QoS in Data Management; 5.1.3 Workload Management; 5.1.4 Resource Provisioning; 5.2 Pricing Models for Cloud Systems; 5.2.1 Cost Types; 5.2.2 Subscription Types; 5.3 Security in Outsourced Data Management; 5.3.1 Secure Joins; 5.3.2 Secure Aggregation and Selection; 5.3.3 Secure Range Queries; 5.4 Summary; References; Chapter6 Overview and Comparison of Current Database-as-a-Service Systems; 6.1 Infrastructure-as-a-Service
6.1.1 Amazon Elastic Compute Cloud6.1.2 Further IaaS Solutions; 6.2 Platform-as-a-Service; 6.2.1 Amazon S3, DynamoDB, and RDS; 6.2.2 Amazon Elastic MapReduce; 6.2.3 Microsoft Windows Azure; 6.3 Software- and Data-as-a-Service; 6.3.1 The Open Data Trend; 6.3.2 Data Markets and Pricing models; 6.3.3 Beyond ``Data-as-a-Service''; 6.4 Summary; References; Chapter7 Summary and Outlook; 7.1 Outlook, Current Trends, and Some Challenges; 7.2 … the End; References
The efficient management of a consistent and integrated database is a central task in modern IT and highly relevant for science and industry. Hardly any critical enterprise solution comes without any functionality for managing data in its different forms. Web-Scale Data Management for the Cloud addresses fundamental challenges posed by the need and desire to provide database functionality in the context of the Database as a Service (DBaaS) paradigm for database outsourcing. This book also discusses the motivation of the new paradigm of cloud computing, and its impact to data outsourcing and se
Sprache
Englisch
Schlagworte
RVK-Notation
  • Informatik
    • Monografien
      • Software und -entwicklung
        • Web-Programmierung, allgemein
  • Informatik
    • Monografien
      • Software und -entwicklung
        • Datenbanken, Datenbanksysteme, Data base management, Informationssysteme
          • Datenbanken, Datenbanksysteme, Data base management, Informationssysteme. Allgemein
  • Informatik
    • Monografien
      • Vernetzung, verteilte Systeme
        • Allgemeines, Netzmanagement
BK-Notation
54.64 Datenbanken
54.32 Rechnerkommunikation
DDC-Notation
005.7565 ; 004.67/82
ISBN
9781461468554