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 
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
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
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
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
Database Management Systems by Rich Maclin
This note covers the following topics: database design and organization, ER(entityrelationship)model, the relational data model, query languages, language basics, relational algebra, domain calculus, sql, programming with dbs, sql interfaces, internet applications, dbms implementation, physical representation, organization overview, file organization, tree indices, hash indices, query evaluation, query evaluation overview, external sorting, join evaluation, other operations, query optimization, transaction management, overview of transactions, concurrency control, crash recovery, security.
Author(s): Rich Maclin
NA Pages
Lecture Notes in Database Systems
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Author(s):
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The Relational Data Model, Normalisation and effective Database Design (T. Marston)
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Author(s):
Pages
Currently this section contains no detailed description for the page, will update this page soon.
Author(s):
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Introduction to Databases for the Web
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Author(s):
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