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SQL and NoSQL Databases

- Modeling, Languages, Security and Architectures for Big Data Management
Af: Andreas Meier, Michael Kaufmann Engelsk Paperback

SQL and NoSQL Databases

- Modeling, Languages, Security and Architectures for Big Data Management
Af: Andreas Meier, Michael Kaufmann Engelsk Paperback
Tjek vores konkurrenters priser
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.
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Tjek vores konkurrenters priser
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.
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Produktdetaljer
Sprog: Engelsk
Sider: 254
ISBN-13: 9783031279072
Indbinding: Paperback
Udgave:
ISBN-10: 3031279077
Kategori: Databasesoftware
Udg. Dato: 30 jun 2023
Længde: 19mm
Bredde: 235mm
Højde: 155mm
Forlag: Springer International Publishing AG
Oplagsdato: 30 jun 2023
Forfatter(e): Andreas Meier, Michael Kaufmann
Forfatter(e) Andreas Meier, Michael Kaufmann

Kategori Databasesoftware

ISBN-13 9783031279072

Sprog Engelsk

Indbinding Paperback

Sider 254

Udgave

Længde 19mm

Bredde 235mm

Højde 155mm

Udg. Dato 30 jun 2023

Oplagsdato 30 jun 2023

Forlag Springer International Publishing AG

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