Michael Kaufmann,Andreas Meier
SQL and NoSQL Databases: Modeling, Languages, Security and Architectures for Big Data Management
SQL and NoSQL Databases: Modeling, Languages, Security and Architectures for Big Data Management
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This textbook provides a comprehensive introduction to relational and non-relational databases, covering management, modeling, languages, security, and architecture. It also discusses other SQL- and NoSQL-based database approaches, such as non-relational data models, document and graph query languages, Map/Reduce procedure, distribution options, and the CAP theorem. The 2nd English edition includes a new in-depth introduction to document databases, a method for modeling document structures, an overview of the document-oriented MongoDB query language MQL, and security and architecture aspects. It also covers data management, database programming, data warehousing, and data lakes, as well as JSON, JSON schema, BSON, index-free neighborhood, cloud databases, search engines, and time series databases.
Format: Paperback / softback
Length: 254 pages
Publication date: 26 May 2023
Publisher: Springer International Publishing AG
This comprehensive textbook provides a thorough introduction to both relational (SQL) and non-relational (NoSQL) databases. The authors delve into the current state of database tools and techniques, exploring upcoming innovations. The first five chapters offer in-depth analysis of the management, modeling, languages, security, and architecture of relational databases, graph databases, and document databases. Additionally, an overview of other SQL- and NoSQL-based database approaches is provided.
Beyond classic concepts like entity and relationship models and their mapping in SQL database schemas, the book delves into various aspects of NoSQL databases. It covers non-relational data models, document and graph query languages (MQL, Cypher), the Map/Reduce procedure, distribution options (sharding, replication), and the CAP theorem (Consistency, Availability, and Partition Tolerance).
The 2nd English edition of this textbook offers a new in-depth introduction to document databases, featuring a method for modeling document structures. It also provides an overview of the document-oriented MongoDB query language MQL, along with security and architecture aspects. Database security is introduced as a separate chapter, with detailed analysis of data protection, integrity, and transactions. Texts on data management, database programming, data warehousing, and data lakes have been updated, and the book now explains concepts such as JSON, JSON schema, BSON, index-free neighborhood, cloud databases, search engines, and time series databases.
Packed with over 100 tables, examples, and illustrations, each chapter concludes with a list of resources for further reading. The book offers an in-depth comparison of relational and non-relational approaches, guiding readers on how to utilize these technologies effectively. Whether you're a student, professional, or database enthusiast, this textbook is a valuable resource for expanding your knowledge and understanding of databases.
Weight: 415g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031279072
Edition number: 2nd ed. 2023
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