Lecture Notes On DBMS
In computerized information system data is the basic resource of the organization. So, proper organization and management for data is required for organization to run smoothly. Database management system deals the knowledge of how data stored and managed on a computerized information system. In any organization, it requires accurate and reliable data for better decision making, ensuring privacy of data and controlling data efficiently. The contents include: Introduction, Disadvantages of file oriented approach, Database, Why Database, Database Management System(DBMS), Function of DBMS, Advantages of DBMS and disadvantage of DBMS, Database Basics, Three level architecture of DBMS, Database users, Database language, Database structure.
Author(s): Dr. Subhendu Kumar Rath, BPUT, Odisha
127 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
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
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
Database Template Library (DTL) Programmers Guide
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
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):
PagesAdvertisement
