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Advanced Data Management : For SQL, NoSQL, Cloud and Distributed Databases / Lena Wiese.

By: Wiese, Lena [author.].
Material type: materialTypeLabelBookSeries: De Gruyter Textbook.Publisher: Berlin ; Boston : De Gruyter, [2015]Copyright date: ©2015Description: 1 online resource (352 p.).Content type: text Media type: computer Carrier type: online resourceISBN: 9783110441413.Subject(s): Cloud computing | Distributed databases | Non-relational databases | Relational databases | SQL (Computer program language) | Cloud | NoSQL | SQL | COMPUTERS / Computer Science | Data models | Data storage | Distributed databases | NoSQL databases | SQL databasesAdditional physical formats: No title; No titleDDC classification: 005.8 Online resources: Click here to access online | Click here to access online | Cover
Contents:
Frontmatter -- Preface -- Overview -- Contents -- List of Figures -- List of Tables -- Part I: Introduction -- 1. Background -- 2. Relational Database Management Systems -- Part II: NOSQL And Non-Relational Databases -- 3. New Requirements, "Not only SQL" and the Cloud -- 4. Graph Databases -- 5. XML Databases -- 6. Key-value Stores and Document Databases -- 7. Column Stores -- 8. Extensible Record Stores -- 9. Object Databases -- Part III: Distributed Data Management -- 10. Distributed Database Systems -- 11. Data Fragmentation -- 12. Replication And Synchronization -- 13. Consistency -- Part IV: Conclusion -- 14. Further Database Technologies -- 15. Concluding Remarks -- Bibliography -- Index
Title is part of eBook package:DG Plus eBook-Package 2015Title is part of eBook package:EBOOK PACKAGE COMPLETE 2015Title is part of eBook package:EBOOK PACKAGE Engineering, Computer Sciences 2015Summary: Advanced data management has always been at the core of efficient database and information systems. Recent trends like big data and cloud computing have aggravated the need for sophisticated and flexible data storage and processing solutions.This book provides a comprehensive coverage of the principles of data management developed in the last decades with a focus on data structures and query languages. It treats a wealth of different data models and surveys the foundations of structuring, processing, storing and querying data according these models. Starting off with the topic of database design, it further discusses weaknesses of the relational data model, and then proceeds to convey the basics of graph data, tree-structured XML data, key-value pairs and nested, semi-structured JSON data, columnar and record-oriented data as well as object-oriented data. The final chapters round the book off with an analysis of fragmentation, replication and consistency strategies for data management in distributed databases as well as recommendations for handling polyglot persistence in multi-model databases and multi-database architectures. While primarily geared towards students of Master-level courses in Computer Science and related areas, this book may also be of benefit to practitioners looking for a reference book on data modeling and query processing. It provides both theoretical depth and a concise treatment of open source technologies currently on the market.
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Frontmatter -- Preface -- Overview -- Contents -- List of Figures -- List of Tables -- Part I: Introduction -- 1. Background -- 2. Relational Database Management Systems -- Part II: NOSQL And Non-Relational Databases -- 3. New Requirements, "Not only SQL" and the Cloud -- 4. Graph Databases -- 5. XML Databases -- 6. Key-value Stores and Document Databases -- 7. Column Stores -- 8. Extensible Record Stores -- 9. Object Databases -- Part III: Distributed Data Management -- 10. Distributed Database Systems -- 11. Data Fragmentation -- 12. Replication And Synchronization -- 13. Consistency -- Part IV: Conclusion -- 14. Further Database Technologies -- 15. Concluding Remarks -- Bibliography -- Index

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Advanced data management has always been at the core of efficient database and information systems. Recent trends like big data and cloud computing have aggravated the need for sophisticated and flexible data storage and processing solutions.This book provides a comprehensive coverage of the principles of data management developed in the last decades with a focus on data structures and query languages. It treats a wealth of different data models and surveys the foundations of structuring, processing, storing and querying data according these models. Starting off with the topic of database design, it further discusses weaknesses of the relational data model, and then proceeds to convey the basics of graph data, tree-structured XML data, key-value pairs and nested, semi-structured JSON data, columnar and record-oriented data as well as object-oriented data. The final chapters round the book off with an analysis of fragmentation, replication and consistency strategies for data management in distributed databases as well as recommendations for handling polyglot persistence in multi-model databases and multi-database architectures. While primarily geared towards students of Master-level courses in Computer Science and related areas, this book may also be of benefit to practitioners looking for a reference book on data modeling and query processing. It provides both theoretical depth and a concise treatment of open source technologies currently on the market.

Mode of access: Internet via World Wide Web.

In English.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021)

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