Advertisement
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 
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
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
Information Modeling (D. Edmond)
Currently this section contains no detailed description for the page, will update this page soon.
Author(s):
Pages
Lecture Notes in Database SystemsMirror1
Currently this section contains no detailed description for the page, will update this page soon.
Author(s):
Pages
Concurrency Control and Recovery in Database Systems (P. Bernstein, et al)
Currently this section contains no detailed description for the page, will update this page soon.
Author(s):
Pages
The Relational Data Model, Normalisation and effective Database Design (T. Marston)
Currently this section contains no detailed description for the page, will update this page soon.
Author(s):
Pages
Relational Modeling of Biological Data Trees and Graphs (A.J. Mackey)
Currently this section contains no detailed description for the page, will update this page soon.
Author(s):
Pages
Introduction to Databases for Web Developers
Currently this section contains no detailed description for the page, will update this page soon.
Author(s):
PagesAdvertisement
