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SQL & NoSQL Databases = Models, Languages, Consistency Options and Architectures for Big Data Management /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	SQL & NoSQL Databases/ by Andreas Meier, Michael Kaufmann.
其他題名:	Models, Languages, Consistency Options and Architectures for Big Data Management /
作者:	Meier, Andreas.
其他作者:	Kaufmann, Michael.
面頁冊數:	XVI, 229 p. 113 illus., 111 illus. in color. Textbook for German language market.online resource. :
Contained By:	Springer Nature eBook
標題:	Database management. -
電子資源:	https://doi.org/10.1007/978-3-658-24549-8
ISBN:	9783658245498

SQL & NoSQL Databases = Models, Languages, Consistency Options and Architectures for Big Data Management /
Meier, Andreas.

SQL & NoSQL DatabasesModels, Languages, Consistency Options and Architectures for Big Data Management /[electronic resource] :by Andreas Meier, Michael Kaufmann. - 1st ed. 2019. - XVI, 229 p. 113 illus., 111 illus. in color. Textbook for German language market.online resource.

Data Management -- Data Modeling -- Database Languages -- Ensuring Data Consistency -- System Architecture -- Post-Relational Databases -- NoSQL Databases.

This book introduces readers to the field of relational (SQL) and non-relational (NoSQL) databases. The main topics covered are data management, data modeling, query and manipulation languages, consistency, privacy and security, system architectures and multi-user operation. The book also provides an overview of post-relational and non-relational database systems. In addition to classic concepts, important aspects of NoSQL databases are discussed, such as map / reduce, distribution options (fragments, replication), and the CAP theorem (Consistency, Availability, and Partition tolerance). The book will benefit students looking for an introduction to the area of SQL and NoSQL databases, as well as practitioners, helping them better understand the strengths and weaknesses of relational and non-relational approaches and developments in connection with big data applications. Content Data Management - Data Modeling - Database Languages - Ensuring Data Consistency - System Architecture - Post-Relational Databases - NoSQL Databases 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. Michael Kaufmann is a Professor of Data Science and Big Data at the School of Information Technology, Lucerne University of Applied Sciences and Arts. He is also the coordinator of the university’s Data Intelligence research team, which develops and studies methods and technologies for intelligent data management. .

ISBN: 9783658245498

Standard No.: 10.1007/978-3-658-24549-8doiSubjects--Topical Terms:

557799
Database management.

LC Class. No.: QA76.9.D3

Dewey Class. No.: 005.74

SQL & NoSQL Databases = Models, Languages, Consistency Options and Architectures for Big Data Management /
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