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
127Pages
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
95Pages
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
88Pages
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
NAPages
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
NAPages
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
NAPages
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
NAPages
This book covers the following topics: Databases, Automata, Compilers, Operating Systems, Introductory Java, Data Structures, and Data Mining.
Author(s): Hector Garcia Molina, Jeff Ullman and Jennifer Widom
NAPages
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
NAPages
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
NAPages
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
NAPages
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
NAPages
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