Overview
- 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
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About this book
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.
Keywords
Table of contents (7 chapters)
Authors and Affiliations
About the authors
Andreas Meier is a former member of the Faculty of Economics and Social Science and was a professor of Information Technology at the University of Fribourg. He specializes in electronic business, electronic government, and information management. He is member of the GI (Gesellschaft für Informatik), IEEE Computer Society, and ACM. After studying music in Vienna, he graduated with a degree in mathematics at the Federal Institute of Technology (ETH) in Zurich, studied his doctorate, and qualified as a university lecture at the Institute of Computer Science. He was a systems engineer at the IBM research lab in San José, California, director of an international bank, and a member of the executive board of an insurance company.
Bibliographic Information
Book Title: SQL and NoSQL Databases
Book Subtitle: Modeling, Languages, Security and Architectures for Big Data Management
Authors: Michael Kaufmann, Andreas Meier
DOI: https://doi.org/10.1007/978-3-031-27908-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-27907-2Published: 30 June 2023
eBook ISBN: 978-3-031-27908-9Published: 29 June 2023
Edition Number: 2
Number of Pages: XIV, 254
Number of Illustrations: 1 b/w illustrations, 109 illustrations in colour
Topics: Database Management, Data Structures and Information Theory, Artificial Intelligence, Data Storage Representation