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Database Theory and Systems
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  • Database Design, 2nd Edition (Adrienne Watt, et al)

    This book covers database systems and database design concepts. It provides short, easy-to-read explanations of how to get database design right the first time and to help you avoid the many pitfalls that entrap new and not-so-new database designers.

  • Databases, Types, and the Relational Model: The Third Manifesto

    This book can be seen as an abstract blueprint for the design of a DBMS and the language interface to such a DBMS. In particular, it serves as a basis for a model of type inheritance. This book is essential reading for database professionals.

  • Database Lifecycle Management: Achieving Continuous Delivery

    This book describes how to apply the business and technical approaches of Database Lifecycle Management (DLM) in order to make database change management processes more visible, predictable and measurable.

  • Theory of Relational Databases (David Maier)

    The book is intended for a second course in databases, but is an excellent reference for researchers in the field. The material covered includes relational algebra, functional dependencies, multivalued and join dependencies, normal forms, etc.

  • Foundations of Databases: The Logical Level (Alice's book)

    Written by three leading researchers in the field, this book provides in-depth coverage of the theory concerning the logical level of database management systems, including both classical and advanced topics

  • An Introduction to Relational Database Theory, 2nd Ed. (Darwen)

    This book delivers a thorough discussion of the foundations of the relational model of database design along with a systematic treatment of the formal theory for the model.

  • Database Fundamentals (Neeraj Sharma, et al)

    Learn the basics of relational database theory and other information models. This book discusses database logical and physical design, and introduces you to the SQL language. Practice with hands-on exercises!

  • Concurrency Control and Recovery in Database Systems

    This book is about techniques for concurrency control and recovery. It covers techniques for centralized and distributed computer systems, and for single copy, multiversion, and replicated databases.

  • Developing Time-Oriented Database Applications in SQL

    It teaches you effective techniques for designing and building database applications that must integrate past and current data. Anyone who has ever attempted to create or modify a database containing temporal data will appreciate the complexity of the task.

  • Database Design and Implementation using Oracle SQL

    This book uses a simple step by step approach to explain the essential relational database design modelling techniques, and shows how Oracle SQL can be used to implement a database. There are numerous practical exercises with feedback.

  • Relational Data Model, Normalisation and Effective Database Design

    The book presents a conceptually complete coverage of indispensable topics that each MIS student should learn if that student takes only one database course.

  • Database Systems and Structures (Osmar R. Zaiane)

    This book provides in-depth coverage of database design, demonstrating that the key to successful database implementation is in proper design of databases to fit within a larger strategic view of the data environment.

  • Database Design with UML and SQL, 3rd Edition (Tom Jewett)

    This book teaches you how to use the Unified Modeling Language (UML) and Structured Query Language (SQL) to develop and implement the best possible design for your databases.

  • Temporal Database Management (Christian S. Jensen)

    The book shows how to make the rich information content of bi-temporal data available to business users, while simplifying the design, maintenance and retrieval of that data.

  • Making Sense of Stream Processing: Behind Apache Kafka

    This book shows you how stream processing can make your data storage and processing systems more flexible and less complex. It explains how these projects can help you reorient your database architecture around streams and materialized views.

  • Information Modeling: Specification and Implementation

    This book provides basic concepts of information models and explains how to design database based on data analysis and SQL models. It also provides case studies of database design based on information modeling techniques.

  • Category Theory for the Sciences (David I. Spivak)

    Using databases as an entry to category theory, this book explains category theory by examples, and shows that category theory can be useful outside of mathematics as a rigorous, flexible, and coherent modeling language throughout the sciences.

  • Modeling with Data: Tools and Techniques for Scientific Computing

    Modeling with Data fully explains how to execute computationally intensive analyses on very large data sets, showing readers how to determine the best methods for solving a variety of different problems, etc..

  • Data-Oriented Design (Richard Fabian)

    This book is a practical guide for serious game developers. It is for game developers working to create triple A titles across multiple platforms, in fact for anyone who develops cutting edge software in restrictive hardware.

  • Introduction to Information Retrieval (Christopher Manning, et al)

    This book covers all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections.

  • Database Theory and Systems

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