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
Introduction to Database Systems
The purpose of this note is to give students about an understanding of what database systems are, why we use them, how to use common database systems efficiently and how database systems work internally. Also teaches about variety of data management tasks and different approaches to them.
Author(s): University of California at Berkeley
NA Pages
Database Systems Lecture Notes
This note is designed to introduce graduate students to the foundations of database systems, focusing on basics such as the relational algebra and data model, query optimization, query processing, and transactions. Topics covered includes: The relational model, Schema design, database internals, Database operators and query processing, Indexing and access methods, Buffer pool design and memory management, Join algorithms, Query optimization, Selinger optimizer, Transactions and locking, Optimistic concurrency control, Distributed transactions, Parallel databases, Scientific databases, NOSQL , ORM, DryadLINQ, Streaming databases, database as a service.
Author(s): Prof. Samuel Madden, Prof. Robert Morris, Prof. Michael Stonebraker, Dr. Carlo Curino
NA Pages
This note covers the following topics: Introduction, inductive learning, Decision trees, Rule induction, Instance-based learning, Bayesian learning, Neural networks, Model ensembles, Learning theory, Clustering and dimensionality reduction.
Author(s): Pedro Domingos
NA 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
Database Systems by Raj Sunderraman
This note covers the following topics: Databases and database users, database system concepts and architecture, relational data model, lab manual, the relational data model and constraints, Relational algebra and calculus, sql, basic sql, JDBC API to access relational databases in java, JDBC API javadoc, sun JDBC, JDBC scrollable resultsets, oracle JDBC drivers for java 6, ER model, enhanced ER model.
Author(s): Dr. Raj Sunderraman
NA Pages
