Principles of Database Management

Wilfried Lemahieu is a professor at KU Leuven, Belgium, Faculty of Economics and Business, where he also holds the position of Dean. His teaching, for which he was awarded a 'best teacher recognition' includes courses on database management, enterprise information management and management informatics. His research focuses on big data storage and integration, data quality, business process management and service-oriented architectures. In this context, he collaborates extensively with a variety of industry partners, both local and international. His research is published in renowned international journals and he is a frequent lecturer for both academic and industry audiences. Seppe vanden Broucke works as an assistant professor at the Faculty of Economics and Business, KU Leuven, Belgium. His research interests include business data mining and analytics, machine learning, process management and process mining. His work has been published in well-known international journals and presented at top conferences. He is also author of the book Beginning Java Programming (2015) of which more than 4000 copies were sold and which was also translated in Russian. Seppe's teaching includes advanced analytics, big data and information management courses. He also frequently teaches for industry and business audiences. Bart Baesens is a professor of Big Data and Analytics at KU Leuven, Belgium and a lecturer at the University of Southampton. He has done extensive research on big data and analytics, credit risk modeling, fraud detection and marketing analytics. He has written more than 200 scientific papers some of which have been published in well-known international journals (e.g. MIS Quarterly, Machine Learning, Management Science, MIT Sloan Management Review and IEEE Transactions on Knowledge and Data Engineering) and presented at international top conferences (e.g. ICIS, KDD, CAISE). He received various best paper and best speaker awards. Bart is the author of 6 books: Credit Risk Management: Basic Concepts (2009), Analytics in a Big Data World (2014), Beginning Java Programming (2015), Fraud Analytics using Descriptive, Predictive and Social Network Techniques (2015), Credit Risk Analytics (2016) and Profit-Driven Business Analytics (2017). He sold more than 15.000 copies of these books worldwide, some of which have been translated in Chinese, Russian and Korean.

'Although there have been a series of classical textbooks on database systems, the new dramatic advances call for an updated text covering the latest significant topics, such as big data analytics, No-SQL and much more. Fortunately, this is exactly what this book has to offer. It is highly desirable for training the next generation of data management professionals.' Jian Pei, Simon Fraser University, Canada

• 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.