Lecture Materials

All the chapters in the book come accompagnied with prepared slides and video lectures.

Inspection Copy

Follow this link to request your lecturer inspection copy.

You can also find other resources for the book on the Cambridge University Press page at www.cambridge.org/9781107186125.

Online Appendix

Download Online Appendix D: Relational Algebra and Relational Calculus

• In PDF format
• In DOCX (Word) format

Course Slides

Download course slides here.

Course Videos

Course videos are made available as a YouTube playlist.

Course videos are also mirrored here in case you don't have access to YouTube:

• Chapter 1 Fundamental Concepts of Database Management
• Chapter 2 Architecture and Classification of DBMSs
• Chapter 3 Conceptual Data Modeling using EER and UML
• Chapter 4 Organizational Aspects of Data Management
• Chapter 5 Legacy Databases
• Chapter 6 Relational Databases
• Chapter 7 SQL
• Chapter 8 Object Oriented Databases and Object Persistence
• Chapter 9 Extended Relational Databases
• Chapter 10 XML Databases
• Chapter 11 NoSQL Databases
• Chapter 12 Physical File Organization and Indexing
• Chapter 13 Physical Database Organization
• Chapter 14 Basics of Transaction Management
• Chapter 15 Database APIs
• Chapter 16 Data Distribution and Distributed Transaction Management
• Chapter 17 Data warehousing and Business Intelligence
• Chapter 18 Data Integration, Data Quality and Data Governance
• Chapter 19 Big Data

Exam Questions and Solutions Manual

The book comes with various open and multiple choice questions. A solution manual can be obtained from Cambridge University Press (see "Instructor's manual" under "Instructor Resources", you will have to register an account first).

Students can also use our on-line quiz environment to self-test.

For lecturers: we also provide testbank questions in Blackboard format.

Additional Materials

• Presentation: SQL is Dead, Long Live SQL: download PDF
• Presentation: Book Overview: download PDF

DataCamp Course

DataCamp Course Data-Driven Decision Making in SQL. Learn how to analyze a SQL table and report insights to management.