Database management systems are now an indispensable tool for managing information, and a course on the principles and practice of database systems is now an integral part of computer science curricula. This book covers the
fundamentals of modern database management systems, in particular relational database systems.
We have attempted to present the material in a clear, simple style. A quantitative approach is used throughout with many detailed examples.
Bài giảng "Chương I: Tổng quan về Hệ quản trị cơ sở dữ liệu Database Management System" nhằm giúp các bạn có được cái nhìn bao quát về cơ sở dữ liệu (Database) cũng như về hệ quản trị cơ sở dữ liệu (DBMS), hệ cơ sở dữ liệu (Database system), các yêu cầu khi xây dựng một DBMS, một số khái niệm quan trọng như: giao tác (transaction), Concurrent Control, khôi phục sau sự cố,...
Database Management Systems: Chapter 0 - An Overview of a Database Management System includes about What is a DBMS? DBMS Capabilities, Data-Definition Language Commands, Answering the query, Buffer manager, Transaction processor’s tasks.
Database Management Systems: Chapter 3 - Algorithms for Query Processing and Optimization Introduction to Query Processing; Translating SQL Queries into Relational Algebra; Algorithms for External Sorting; Algorithms for SELECT and JOIN Operations;...
Database Management Systems: Chapter 4 - Introduction to Transaction Processing Concepts and Theory Introduction to Transaction Processing, Transaction and System Concepts, Desirable Properties of Transactions, Characterizing Schedules based on Recoverability.
Database Management Systems: Chapter 5 - Concurrency Control Techniques provides about Databases Concurrency Control (Purpose of Concurrency Control, Two-Phase locking, Concurrency control based on Timestamp ordering, Multiversion Concurrency Control techniques, Lock Compatibility Matrix, Lock Granularity).
Principles of Database Management Systems - Notes 5: Hashing and More presents about Two alternatives, Example hash function, Within a bucket, Rule of thumb, overflow chains, Extensible hashing, Linear hashing.
Principles of Database Management Systems - Notes 7: Concurrency Control products Concurrency Control, Correctness depends on scheduling of transactions, Returning to Sc, Precedence graph P(S), Schedule F (with simple locking).
Principles of Database Management Systems - Notes 8: More on Transaction Processing is Topics to discuss, Problem of Uncommitted Data, How to avoid cascading rollbacks? Recovery with group commit, Avoiding cascading rollbacks with validation, Transaction Isolation in Practice.
Principles of Database Management Systems includes Course Overview (Physical data storage, Indexing & Hashing, Query Processing,...); Simplified DBMS structure, Why study DBMS implementation techniques?
This text is designed to be used with an introductory course in database management. Such a course is usually required as part of an information systems curriculum in business schools, computer technology programs, and applied computer science departments.
Lecture "Chapter 13: Designing databases" provides students with the knowledge: Learning objectives, databases and database management systems, components of a DB and DBMS, DBMS important capabilities, relational databases, partial display of relational database,... Invite you to consult.
Learning objectives in this chapter: Describe the differences and similarities between relational and object-oriented database management systems, design a relational database schema based on an entity-relationship diagram, design an object database schema based on a class diagram,...
Decision Support Systems: Chapter 5 - Data Management includes Data, Information, Knowledge; Data collection, problems and quality; Database Management Systems in DSS; Data warehousing; OLAP; Data Mining; Data Visualization and Multidimensionality; GIS.
Appendix C - Designing databases. After completing this unit, you should be able to: Describe the purpose of the relational database model in a database management system, list the relational database model’s basic components, describe why entities and attributes are organized into tables and fields, describe how data redundancy is handled in the relational database model.