The fourth edition of this classic textbook provides major updates.
This edition has completely new chapters on Big Data Platforms (distributed storage systems, Map Reduce, Spark, data stream processing, graph analytics) and on No SQL, New SQL and polystore systems.
It also includes an updated web data management chapter that includes RDF and semantic web discussion, an integrated database integration chapter focusing both on schema integration and querying over these systems.
The peer-to-peer computing chapter has been updated with a discussion of blockchains.
The chapters that describe classical distributed and parallel database technology have all been updated.
The new edition covers the breadth and depth of the field from a modern viewpoint.
Graduate students, as well as senior undergraduate students studying computer science and other related fields will use this book as a primary textbook.
Researchers working in computer science will also find this textbook useful.
This textbook has a companion web site that includes background information on relational database fundamentals, query processing, transaction management, and computer networks for those who might need this background.
The web site also includes all the figures and presentation slides as well as solutions to exercises (restricted to instructors).
About the Author M.
Tamer zsu is a University Professor at Cheriton School of Computer Science at University of Waterloo, Canada.
He has been conducting research in distributed data management for thirty years.
He is a Fellow of the Royal Society of Canada, American Association for the Advancement of Science (AAAS), Association for Computing Machinery (ACM) and Institute of Electrical and Electronics Engineers (IEEE).
He is an elected member of the Science Academy, Turkey, and a member of Sigma Xi.
He has received the CS-Can/Info-Can (Canadian Computer Science Society) Lifetime Achievement Award in 2019, ACM SIGMOD Test-of-Time Award in 2015, ACM SIGMOD Contribut.
