Michael Kaufmann: SQL and NoSQL Databases

Cover: 9783031279072 | SQL and NoSQL Databases | Michael Kaufmann (u. a.) | Taschenbuch | xiv

Rückseite: 9783031279072 | SQL and NoSQL Databases | Michael Kaufmann (u. a.) | Taschenbuch | xiv

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Sprache: Englisch

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Beschreibung

This textbook 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 upcoming innovations.

In the first five chapters, the authors analyze in detail the management, modeling, languages, security, and architecture of relational databases, graph databases, and document databases. Moreover, an overview of other SQL- and NoSQL-based database approaches is provided. In addition to classic concepts such as the entity and relationship model and its mapping in SQL database schemas, query languages or transaction management, other aspects for NoSQL databases such as non-relational data models, document and graph query languages (MQL, Cypher), the Map/Reduce procedure, distribution options (sharding, replication) or the CAP theorem (Consistency, Availability, Partition Tolerance) are explained.

This 2nd English edition offers a new in-depth introduction to document databases with a method for modeling document structures, an overview of the document-oriented MongoDB query language MQL as well as security and architecture aspects. The topic of database security is newly introduced as a separate chapter and analyzed in detail with regard to data protection, integrity, and transactions. Texts on data management, database programming, and data warehousing and data lakes have been updated. In addition, the book now explains the concepts of JSON, JSON schema, BSON, index-free neighborhood, cloud databases, search engines and time series databases.

The book includes more than 100 tables, examples and illustrations, and each chapter offers a list of resources for further reading. It conveys an in-depth comparison of relational and non-relational approaches and shows how to undertake development for big data applications. This way, it benefits students and practitioners working across the broad field of data science and applied information technology.

Über den Autor

Michael Kaufmann ist Professor für Datenbanken und Big Data am Departement für Informatik der Hochschule Luzern. Er lehrt Datenbanksysteme und forscht an Methoden und Technologien für intelligentes Datenmanagement.
Andreas Meier ist ein ehemaliges Mitglied der Wirtschafts- und Sozialwissenschaftlichen Fakultät und war Professor für Informationstechnologie an der Universität Fribourg. Er ist spezialisiert auf Electronic Business, Electronic Government und Informationsmanagement.

Zusammenfassung

Explores relational (SQL) and non-relational (NoSQL) databases

Covers database management, modeling, languages, security, architecture and more

Extensively illustrated with more than 100 tables, examples and illustrations

Inhaltsverzeichnis

- 1. Database Management. - 2. Database Modeling. - 3. Database Languages. - 4. Database Security. - 5. System Architecture. - 6. Post-relational Databases. - 7. NoSQL Databases.

Details

Erscheinungsjahr:	2023
Genre:	Informatik , Mathematik , Medizin , Naturwissenschaften , Technik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Inhalt:	xiv 254 S. 1 s/w Illustr. 109 farbige Illustr. 254 p. 110 illus. 109 illus. in color.
ISBN-13:	9783031279072
ISBN-10:	3031279077
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Kaufmann, Michael Meier, Andreas
Auflage:	Second Edition 2023
Hersteller:	Springer Springer International Publishing AG
Verantwortliche Person für die EU:	Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße:	235 x 155 x 15 mm
Von/Mit:	Michael Kaufmann (u. a.)
Erscheinungsdatum:	21.07.2023
Gewicht:	0,411 kg