Who's Using the Book

The following universities and institutions are using Principles of Database Management as a textbook:

  1. KU Leuven (Belgium)
  2. UGent (Belgium)
  3. University of São Paulo (Brazil)
  4. IéSEG School of Management (France)
  5. Tianjin University (PR China)
  6. Humboldt-Universität zu Berlin (Germany)
  7. University of Barcelona (Spain)
  8. University of Pittsburgh (USA)
  9. University of Cambridge (UK)
  10. Institute of Technology Tallaght (Ireland)
  11. University of Windsor (Canada)
  12. IMSciences (Pakistan)
  13. University of Massachusetts Boston (USA)
  14. Florida International University (USA)
  15. Cooperative State University of Baden-Württemberg at Ravensburg (Germany)
  16. Bucks County Community College (USA)
  17. University of Paris 1 (France)
  18. Brno University of Technology (Czech Republic)
  19. Technische Universität Dresden (Germany)
  20. New Mexico Tech (USA)
  21. Nova Southeastern University (USA)
  22. James Madison University (USA)
  23. Purdue University -- Fort Wayne (USA)
  24. Purdue University -- West Lafayette (USA)
  25. University at Buffalo (USA)
  26. University of the West of England (UWE Bristol) (UK)
  27. University of Salford (UK)
  28. Rijksuniversiteit Groningen (The Netherlands)
  29. University of Glasgow (Scotland)
  30. Durham University (UK)
  31. International University of Sarajevo (Bosnia and Herzegovina)
  32. Hogeschool Gent (Belgium)
  33. Berlin Hochschule f. Wirtschaft u. Recht (Germany)
  34. KEDGE Business School (France)
  35. The Hong Kong University of Science and Technology (Hong Kong SAR)
  36. Lincoln University (UK)
  37. Universidade de Sao Paulo -- ICMC (Brazil)
  38. Penn State University (USA)
  39. New Mexico State University (USA)
  40. Millersville University (USA)
  41. The University of Tampa (USA)
  42. Highline Community College (USA)
  43. National University of Singapore (Singapore)
  44. Centro de Ciências Exatas e de Tecnologia (Brazil)
  45. Polytechnic University of Catalonia (UPC) (Spain)
  46. Stony Brook University (USA)
  47. California State University San Bernardino (USA)
  48. New York University (USA)
  49. UC Leuven Limburg (Belgium)
  50. San Jose State University (USA)
  51. The University of Texas at Austin (USA)
  52. University of Kansas (USA)
  53. Rochester Institute of Technology (USA)
  54. Universität Liechtenstein (Liechtenstein)
  55. IT-Universitetet København (Denmark)
  56. University of Nevada Las Vegas (USA)
  57. Vysoké Učení Technické V Brně (Czechia)
  58. Northeastern University (USA)
  59. Birkbeck, University of London (UK)
  60. Hong Kong Baptist University (Hong Kong SAR)
  61. University of Kent (UK)
  62. Iowa State University (USA)
  63. Thomas More College (Belgium)
  64. University of Scranton (USA)
  65. George Washington University (USA)
  66. Virginia Tech (USA)
  67. University of Kentucky (USA)
  68. Texas A&M University (USA)
  69. Walsh College (USA)
  70. University College London (UCL) (UK)
  71. University of Zagreb (Croatia)
  72. National Taras Shevchenko University of Kyiv AcPro (Ukraine)
  73. Georgia College (USA)
  74. University Centre at Blackburn College (UK)
  75. Universität Bremen (Germany)
  76. Odisee University College Brussels (Belgium)
  77. Reutlingen University (Germany)
  78. Rotterdam School of Management (The Netherlands)
  79. University of Mannheim (Germany)
  80. University of Copenhagen (Denmark)
  81. Charles Darwin University (Australia)
  82. Middlesex University (UK)
  83. University College London (UK)
  84. Goshen College (USA)
  85. Columbia University (USA)
  86. Dickinson College (USA)
  87. Pace University (USA)
  88. Texas Southern University (USA)
  89. Babson College (USA)
  90. Canterbury Christ Churn University (UK)
  91. Queen Mary University of London (UK)
  92. University of Nottingham (UK)


See what people are writing and saying about the book.

On the Web


“This book covers everything you will need to teach in a database implementation and design class. With some chapters covering big data, analytic models/methods, and NoSQL, it can keep our students up-to-date with these new technologies in data management related topics.”
– Han-fen Hu, University of Nevada, Las Vegas

“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, NoSQL 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

“I like the way the book covers both traditional database topics and newer material such as big data, No-SQL databases, and data quality. The coverage is just right for my course and the level of the material is very appropriate for my students. The book also has clear explanations and good examples.”
– Barbara Klein, University of Michigan

“This book provides a unique perspective on database management and how to store, manage, and analyze small and big data. The accompanying exercises and solutions, cases, slides, and YouTube lectures turn it into an indispensable resource for anyone teaching an undergraduate or postgraduate course on the topic.”
– Wolfgang Ketter, Erasmus University Rotterdam

“It is a pleasure to study this new book on database systems. The book offers a fantastically fresh approach to database teaching. The mix of theoretical and practical contents is almost perfect, the content is up-to-date and covers the recent ones, the examples are nice, and the database testbed provides an excellent way of understanding the concepts. Coupled with the authors ‘expertise, this book is an important addition to the database field.”
– Arnab Bhattacharya, Indian Institute of Technology, Kanpur

“This is a very modern textbook that fills the needs of current trends without sacrificing the need to cover the required database management systems fundamentals.”
– George Dimitoglou, Hood College

“This book is a much-needed foundational piece on data management and data science. The authors successfully integrate the fields of database technology, operations research and big data analytics, which have often been covered independently in the past. A key asset is its didactical approach that builds on a rich set of industry examples and exercises. The book is a must-read for all scholars and practitioners interested in database management, big data analytics and its applications.”
– Jan Mendling, Institute for Information Business, Vienna

“This guide to big and small data management addresses both fundamental principles and practical deployment. It reviews a range of databases and their relevance for analytics. The book is useful to practitioners because it contains many case studies, links to open-source software, and a very useful abstraction of analytics that will help them better choose solutions. It is important to academics because it promotes database principles which are key to successful and sustainable data science.”
– Sihem Amer-Yahia, Laboratoire d’Informatique de Grenoble; Editor-in-Chief, The VLDB journal

“Principles of Database Management creates a precious resource for researchers, industry practitioners, and students of databases and big data alike. This easy-to-read, well-organized book provides coverage of a number of important topics and techniques about storing, managing, and analyzing big and small data that are specifically not covered in most database or data analytics books. If you work in the area of scalable data management and analysis, you owe it to yourself to read this book.”
– Kunpeng Zhang, University of Maryland

“Database and big data analytics are transforming our daily lives, businesses, and society at large. To achieve competitive advantage in this new environment, we should be able to collect, manage, and analyze a variety of datasets using database systems. This book, written by database and analytics experts, provides a comprehensive view of database technologies from fundamental principles to cutting-edge applications in business intelligence and big data analytics.”
– Gene Moo Lee, University of British Columbia

“The book will provide readers with relevant concepts for today’s databases at a perfect reading and technical level.”
– Douglas Hawley, Northwest Missouri State University

“Here is a book with a strong practical orientation, which covers the recent database management topics relevant to industry. It is a good book with a logical structure to use in an undergraduate database management course.”
– Faruk Arslan, University of Houston, Clear Lake

“Data science success stories and big data applications are only possible because of advances in database technology. This book provides both a broad and deep introduction to databases. It covers the different types of database systems (from relational to noSQL) and manages to bridge the gap between data modeling and the underlying basic principles. The book is highly recommended for anyone that wants to understand how modern information systems deal with ever-growing volumes of data.”
– Wil van der Aalst, RWTH Aachen University

“Principles of Database Management is my favorite textbook for teaching a course on database management. Written in a well-illustrated style, this comprehensive book covers essential topics in established data management technologies and recent discoveries in data science. With a nice balance between theory and practice, it is not only an excellent teaching medium for students taking information management and/or data analytics courses, but also a quick and valuable reference for scientists and engineers working in this area.”
– Chuan Xiao, assistant professor, Graduate School of Informatics, Nagoya University, Japan

「Principles of Database Management」は、私がデータベース管理に関する授業を教える際に愛用している教材である。この本には、基礎的なデータ管理技術における重要なトピックや、近年におけるデータサイエンスの発見に関して、大変わかりやすく解説されている。理論と実践のバランスがよく取れており、情報管理やデータ解析に関する授業を受ける学生にとって優れた教材であることは勿論のこと、この分野に携わる科学者やエンジニアにとってもまた、クイックリファレンスや貴重な参考資料になり得る。
– Chuan Xiao, assistant professor, Graduate School of Informatics, Nagoya University, Japan

The database field has been evolving for several decades and the need for updated textbooks is continuous. Now, this need is covered by this fresh book by Lemahieu, van den Broucke and Baesens. It spans from traditional topics – such as the Relational model and SQL – to more recent topics – such as Distributed computing with Hadoop and Spark as well as Data Analytics. The book can be used as an introductory text and for graduate courses.
- Yannis Manolopoulos, Data Science & Engineering Lab, Aristotle University of Thessaloniki

This book is a very timely book with outstanding coverage of database topics and excellent treatment of database details. It not only gives very solid discussions of traditional topics like data modeling and relational databases but also contains refreshing contents on frontier topics such as XML databases, NoSQL databases, big data, and analytics. For those reasons, this will be a good book for database professionals who will keep using it for all stages of database studies and works.
- J. Leon Zhao, Chair Professor of Information Systems, City University of Hong Kong

This accessible, authoritative book introduces the reader the most important fundamental concepts of data management, while providing a practical view of recent advances. Both are essential for data professionals today.
- Foster Provost, Professor of Data Science & Information Systems and Andre Meyer Faculty Fellow, New York University, Stern School of Business

As we are entering a new technological era of intelligent machines powered by data-driven algorithms, understanding fundamental concepts of data management and their most current practical applications has become more important than ever. This book is a timely guide for anyone interested in getting up to speed with the state of the art in database systems, big data technologies, and data science. It is full of insightful examples and case studies with direct industrial relevance.
- Nesime Tatbul, Intel Labs and MIT

This book covers a comprehensive array of topics on data, which is an important notion nowadays for both academia and practitioners. It is impressive to see how the authors can balance the contents of database management from a combined perspective of classics and mainstreams, in a forward-looking fashion. The emphasis on big and small data is of great value in addressing various issues of data-centric business, where size, accessibility, analytics and governance matter differently in different contexts. I very much enjoy reading this book because of not only its high quality but also its connection with the colleagues at KU Leuven.
- Dr. Guoqing Chen, EMC Chair Professor, Tsinghua SEM (Beijing China)

这本书涵盖了关于数据的全面的主题,这对学术界和从业者来说是一个重要的概念。令人印象深刻的是,作者能够以前瞻性的方式,从经典和主流的结合角度来平衡数据库管理的内容。强调大数据和小数据对解决以数据为中心的业务的各种问题具有重大价值,其中规模,可访问性,分析和治理在不同情况下的重要性不同。我非常喜欢阅读这本书,因为它不仅质量高,而且还与KU Leuven的同事有联系。
- 陈国青博士清华大学经济管理学院 EMC讲席教授

I am teaching the "Advanced Databases" module at the University of Salford-Manchester to our MSc Data Science students. I have been teaching Databases for last 20 years and I have found this book to be well structured and well written. I believe the materials presented in the book and particularly for NoSQL, Big Data and Analytics provide a practical base to cross the rather complex concepts to our students with plenty of good examples. I am using this book as a reference material this semester and have advised my students to obtain a copy as it is an amazing reference book to have. Highly recommend.
- Dr. Saraee Mo, Reader in Data Science, University of Salford Manchester

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