Databases by Ken Moody
The contents include: What is DBMS, The relational data model, Entity-Relationship (E/R)modelling, Relational algebra and relational calculus, SQL, Case Study - Cancer registry for the NHS –challenges, Schema refinement I, Schema refinement II, Schema refinement III and advanced design,On-line Analytical Processing (OLAP), Case Study - Cancer registry for the NHS -Experiences, XML as a data exchange format.
Author(s): Ken Moody, Computer Laboratory, University of Cambridge,UK
88 Pages 
Database Management Systems Lecture Notes
Objective of this note is to understand the basic concepts and the applications of database systems, the basics of SQL and construct queries using SQL and explains the relational database design principles.
Author(s): Malla Reddy College Of Engineering and Technology
329 Pages
Lecture Notes on Fundamental of Database Management Systems
Database is a collection of interrelated data and set of programs can access that system. The contents include: Conceptual Modeling, Relational Approach,Basic Sql Query and Normalization, Transaction Management, Concurrency Control.
Author(s): Ms. K Radhika Assistant Professor, Ms. P Navya Assistant Professor, Department of Computer Science Engineering,Institute of Aeronautical Engineering
95 Pages
This book explains you how to use this document oriented database as a standalone application framework or with high volume, distributed applications.
Author(s): J. Chris Anderson, Jan Lehnardt and Noah Slater
NA Pages
Covered topics: Introduction to databases, Relational model, algebra, calculus, Basics of SQL programming, Advanced SQL programming, Database design and normalization, Basics of query and transaction processing, Introduction to XML (data format and query languages).
Author(s): Leonid Libkin
NA Pages
Information Modeling (D. Edmond)
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Lecture Notes in Database SystemsMirror1
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The Relational Data Model, Normalisation and effective Database Design (T. Marston)
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Representing Trees in a Relational DB
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Relational Modeling of Biological Data Trees and Graphs (A.J. Mackey)
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