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Principles of Database Management "The Practical Guide to Storing, Managing and Analyzing Big and Small Data"

Principles of Database Management "The Practical Guide to Storing, Managing and Analyzing Big and Small Data"

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  • ISBN:9781107186125
  • Editorial: Cambridge University Press
  • Fecha de la edición:
  • Encuadernación:
  • Nº Pág.:784
  • Idiomas:Ingles,Inglés

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This comprehensive textbook teaches the fundamentals of database design, modeling, systems, data storage, and the evolving world of data warehousing, governance and more. Written by experienced educators and experts in big data, analytics, data quality, and data integration, it provides an up-to-date approach to database management. This full-color, illustrated text has a balanced theory-practice focus, covering essential topics, from established database technologies to recent trends, like Big Data, NoSQL, and more. Fundamental concepts are supported by real-world examples, query and code walkthroughs, and figures, making it perfect for introductory courses for advanced undergraduates and graduate students in information systems or computer science. These examples are further supported by an online playground with multiple learning environments, including MySQL; MongoDB; Neo4j Cypher; and tree structure visualization. This combined learning approach connects key concepts throughout the text to the important, practical tools to get started in database management.

Contains extensive coverage of key trending topics, including data warehousing, data integration, data quality, data governance, Big Data, and analytics
Provides embedded state of the art research, including chapters on data integration, quality, and governance and analytics, which allows students to learn critical analysis of new developments in the field
Presents a comprehensive coverage of database management fundamentals with a well-balanced theory-practice focus

Preface
Part I. Databases and Database Design:
1. Fundamental concepts of database management
2. Architecture and categorization of DBMSs
3. Conceptual data modeling using the (E)ER model and UML class diagram
4. Organizational aspects of data management
Part II. Types of Database Systems:
5. Legacy databases
6. Relational databases: the relational model
7. Relational databases: structured query language (SQL)
8. Object oriented databases and object persistence
9. Extended relational databases
10. XML databases
11. NoSQL databases
Part III. Physical Data Storage, Transaction Management, and Database Access:
12. Physical file organization and indexing
13. Physical database organization
14. Basics of transaction management
15. Accessing databases and database APIs
16. Data distribution and distributed transaction management
Part IV. Data Warehousing, Data Governance and (Big) Data Analytics:
17. Data warehousing and business intelligence
18. Data integration, data quality and data governance
19. Big data
20. Analytics
Appendix A. Cases and questions
Appendix B. Using the online environment
Appendix C. Answer key to select review questions
Glossary
Index.

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