My Account Log in

3 options

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

De Gruyter DG Plus DeG Package 2015 Part 1 Available online

View online

EBSCOhost Academic eBook Collection (North America) Available online

View online

EBSCOhost Ebook Business Collection Available online

View online
Format:
Book
Author/Creator:
Wiese, Lena, Author.
Series:
De Gruyter Textbook
Language:
English
Subjects (All):
Distributed databases.
Relational databases.
Non-relational databases.
Cloud computing.
SQL (Computer program language).
Physical Description:
1 online resource (374 p.)
Place of Publication:
Berlin ; Boston : De Gruyter, [2015]
Language Note:
English
Summary:
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.
Contents:
Frontmatter
Preface
Overview
Contents
List of Figures
List of Tables
1. Background
2. Relational Database Management Systems
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
10. Distributed Database Systems
11. Data Fragmentation
12. Replication And Synchronization
13. Consistency
14. Further Database Technologies
15. Concluding Remarks
Bibliography
Index
Notes:
Description based upon print version of record.
Includes bibliographical references and index.
Description based on online resource; title from PDF title page (publisher's Web site, viewed 23. Jul 2020)
ISBN:
9783110433074
3110433079
9783110441413
3110441411
OCLC:
930994341

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account