SPRI | SQL And NoSQL Databases: Modeling, Languages, Security And Architectures For Big Data Management, 2nd Edition (2023 EN)

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    Author: Michael Kaufmann, Andreas Meier
    Full Title: SQL And NoSQL Databases: Modeling, Languages, Security And Architectures For Big Data Management, 2nd Edition
    Publisher: Springer; 2nd ed. 2023 edition (July 31, 2023)
    Year: 2023
    ISBN-13: 9783031279089 (978-3-031-27908-9), 9783031279072 (978-3-031-27907-2)
    ISBN-10: 3031279085, 3031279077
    Pages: 254
    Language: English
    Genre: Educational: Databases
    File type: EPUB (True), PDF (True)
    Quality: 10/10
    Price: 64.19 €


    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.


    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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