SQL & NoSQL Databases von Andreas Meier

Models, Languages, Consistency Options and Architectures for Big Data Management
CHF 70.00 inkl. MwSt.
ISBN: 978-3-658-24548-1
Einband: Kartonierter Einband (Kt)
Verfügbarkeit: Lieferbar in ca. 20-45 Arbeitstagen

This book offers a comprehensive introduction to relational (SQL) and non-relational (NoSQL) databases. The authors thoroughly review the current state of database tools and techniques, and examine coming innovations.

The book opens with a broad look at data management, including an overview of information systems and databases, and an explanation of contemporary database types:

  • SQL and NoSQL databases, and their respective management systems
  • The nature and uses of Big Data
  • A high-level view of the organization of data management

Data Modeling and Consistency

Chapter-length treatment is afforded Data Modeling in both relational and graph databases, including enterprise-wide data architecture, and formulas for database design. Coverage of languages extends from an overview of operators, to SQL and and QBE (Query by Example), to integrity constraints and more.

A full chapter probes the challenges of Ensuring Data Consistency, covering:

  • Multi-User Operation
  • Troubleshooting
  • Consistency in Massive Distributed Data
  • Comparison of the ACID and BASE consistency models, and more

System Architecture also gets from its own chapter, which explores Processing of Homogeneous and Heterogeneous Data; Storage and Access Structures; Multi-dimensional Data Structures and Parallel Processing with MapReduce, among other topics.

Post-Relational and NoSQL Databases

The chapter on post-relational databases discusses the limits of SQL - and what lies beyond, including Multi-Dimensional Databases, Knowledge Bases and and Fuzzy Databases.

A final chapter covers NoSQL Databases, along with

  • Development of Non-Relational Technologies,
  • Key-Value, Column-Family and Document Stores
  • XML Databases and Graphic Databases, and more

The book includes more than 100 tables, examples and illustrations, and each chapter offers a list of resources for further reading.

SQL & NoSQL Databases conveys the strengths and weaknesses of relational and non-relational approaches, and shows how to undertake development for big data applications. The book benefits readers including students and practitioners working across the broad field of applied information technology.

This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland.



This book offers a comprehensive introduction to relational (SQL) and non-relational (NoSQL) databases. The authors thoroughly review the current state of database tools and techniques, and examine coming innovations.

The book opens with a broad look at data management, including an overview of information systems and databases, and an explanation of contemporary database types:

  • SQL and NoSQL databases, and their respective management systems
  • The nature and uses of Big Data
  • A high-level view of the organization of data management

Data Modeling and Consistency

Chapter-length treatment is afforded Data Modeling in both relational and graph databases, including enterprise-wide data architecture, and formulas for database design. Coverage of languages extends from an overview of operators, to SQL and and QBE (Query by Example), to integrity constraints and more.

A full chapter probes the challenges of Ensuring Data Consistency, covering:

  • Multi-User Operation
  • Troubleshooting
  • Consistency in Massive Distributed Data
  • Comparison of the ACID and BASE consistency models, and more

System Architecture also gets from its own chapter, which explores Processing of Homogeneous and Heterogeneous Data; Storage and Access Structures; Multi-dimensional Data Structures and Parallel Processing with MapReduce, among other topics.

Post-Relational and NoSQL Databases

The chapter on post-relational databases discusses the limits of SQL - and what lies beyond, including Multi-Dimensional Databases, Knowledge Bases and and Fuzzy Databases.

A final chapter covers NoSQL Databases, along with

  • Development of Non-Relational Technologies,
  • Key-Value, Column-Family and Document Stores
  • XML Databases and Graphic Databases, and more

The book includes more than 100 tables, examples and illustrations, and each chapter offers a list of resources for further reading.

SQL & NoSQL Databases conveys the strengths and weaknesses of relational and non-relational approaches, and shows how to undertake development for big data applications. The book benefits readers including students and practitioners working across the broad field of applied information technology.

This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland.



AutorMeier, Andreas / Kaufmann, Michael
EinbandKartonierter Einband (Kt)
Erscheinungsjahr2019
Seitenangabe229 S.
LieferstatusLieferbar in ca. 20-45 Arbeitstagen
AusgabekennzeichenEnglisch
AbbildungenXVI, 229 p. 113 illus., 111 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
MasseH24.0 cm x B16.8 cm x D1.5 cm 432 g
CoverlagSpringer Vieweg (Imprint/Brand)
Auflage1st ed. 2019
VerlagSpringer Nature EN

Über den Autor Andreas Meier

Andreas Meier ist Professor für Wirtschaftsinformatik an der wirtschafts- und sozialwissenschaftlichen Fakultät der Universität Fribourg, Schweiz. Seine Schwerpunkte sind eBusiness, eGovernment sowie Daten- und Informationsmanagement. Nach Musikstudien in Wien diplomierte er in Mathematik an der ETH in Zürich, doktorierte und habilitierte am Institut für Informatik. Er war Systemingenieur bei der IBM Schweiz, Direktor bei der Grossbank UBS und Geschäftsleitungsmitglied bei der CSS Versicherung. Henrik Stormer arbeitet als Chief Architekt bei der Firma Edorex Informatik AG. Vorher war er als Oberassistent an der Universität Fribourg angestellt. Er studierte Informatik mit NebenfachWirtschaftswissenschaften an der Universität des Saarlandes und promovierte anschliessend am Institut für Informatik der Universität Zürich. Seit mehreren Jahren beschäftigt er sich mit den Themen eBusiness und eCommerce und hat in diesen Bereichen sowohl in praktischen Projekten gearbeitet als auch wissenschaftliche Arbeiten geschrieben.

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