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Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Slide 1- 1 Chapter 2: Database System Concepts and Architecture - Outline Data Models and Their.

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Presentation on theme: "Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Slide 1- 1 Chapter 2: Database System Concepts and Architecture - Outline Data Models and Their."— Presentation transcript:

1 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Slide 1- 1 Chapter 2: Database System Concepts and Architecture - Outline Data Models and Their Categories History of Data Models Schemas, Instances, and States Three-Schema Architecture Data Independence DBMS Languages and Interfaces Database System Utilities and Tools Centralized and Client-Server Architectures Classification of DBMSs

2 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Slide 1- 2 Data Models Data Model: structure of a database, the operations for manipulating these structures, and certain constraints that the database should obey. Data Model Structure and Constraints: Data Model Operations: Categories of Data Models Conceptual (high-level, semantic) data models: (Also called entity-based or object-based data models.) Physical (low-level, internal) data models: Implementation (representational) data models:

3 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Slide 1- 3 Database Schema, Instance and State Database Schema: Includes descriptions of the database structure, data types, and the constraints on the database. Schema Diagram: An illustrative display of (most aspects of) a database schema. Schema Construct: A component of the schema or an object within the schema, e.g., STUDENT, COURSE. Database State: Distinction The database schema changes very infrequently. The database state changes every time the database is updated. Schema is also called intension. State is also called extension.

4 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Slide 1- 4 Example of a Database Schema

5 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Slide 1- 5 Example of a database state NameStudent_numberClassMajor Smith171CS Brown82CS STUDENT

6 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Slide 1- 6 Three-Schema Architecture Defines DBMS schemas at three levels: Internal schema Conceptual schema External schemas at the external level to describe the various user views. Usually uses the same data model as the conceptual schema. Data Independence: Logical Data Independence: Physical Data Independence:

7 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Slide 1- 7 DBMS Languages Data Definition Language (DDL) Data Manipulation Language (DML) High-Level or Non-procedural Languages: These include the relational language SQL May be used in a standalone way or may be embedded in a programming language. Also called declarative langauages Low Level or Procedural Languages: These must be embedded in a programming language

8 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Slide 1- 8 DBMS Interfaces Stand-alone query language interfaces Example: Entering SQL queries at the DBMS interactive SQL interface (e.g. SQL*Plus in ORACLE) Programmer interfaces for embedding DML in programming languages User-friendly interfaces Menu-based, forms-based, graphics-based, etc.

9 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Slide 1- 9 DBMS Programming Language Interfaces Embedded Approach: e.g embedded SQL (for C, C++, etc.), SQLJ (for Java) Procedure Call Approach: e.g. JDBC for Java, ODBC for other programming languages Database Programming Language Approach: e.g. ORACLE has PL/SQL Menu-based, popular for browsing on the web Forms-based, designed for naïve users Graphics-based Natural language: requests in written English Combinations of the above: Speech as Input and Output Web Browser as an interface Parametric interfaces, e.g., bank tellers using function keys. Interfaces for the DBA:

10 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Slide 1- 10 Database System Utilities To perform certain functions such as: Loading data stored in files into a database. Includes data conversion tools. Backing up the database periodically on tape. Reorganizing database file structures. Report generation utilities. Performance monitoring utilities. Data dictionary / repository: Application Development Environments and CASE (computer-aided software engineering) tools: Examples: PowerBuilder (Sybase) JBuilder (Borland) JDeveloper 10G (Oracle)

11 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Slide 1- 11 Typical DBMS Component Modules

12 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Slide 1- 12 A Physical Centralized Architecture

13 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Slide 1- 13 Logical two-tier client server architecture

14 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Slide 1- 14 Three-tier client-server architecture

15 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Slide 1- 15 Classification of DBMSs Based on the data model used Traditional: Relational, Network, Hierarchical. Emerging: Object-oriented, Object-relational. Other classifications Single-user vs. multi-user. Centralized vs. Distributed Homogeneous DDBMS vs Heterogeneous DDBMS Federated or Multidatabase Systems Distributed Database Systems Based on cost factors

16 Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Slide 1- 16 History of Data Models Network Model Hierarchical Model Relational Model Object-oriented Data Models Object-Relational Models


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