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Transcript of Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Slide 1- 1 Chapter 2: Database System...
![Page 1: Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe Slide 1- 1 Chapter 2: Database System Concepts and Architecture - Outline Data Models and Their.](https://reader036.fdocuments.us/reader036/viewer/2022062421/56649e4d5503460f94b43e83/html5/thumbnails/1.jpg)
Slide 1- 1Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe
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
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Slide 1- 2Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe
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:
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Slide 1- 3Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe
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.
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Slide 1- 4Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe
Example of a Database Schema
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Slide 1- 5Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe
Example of a database state
Name Student_number Class Major
Smith 17 1 CS
Brown 8 2 CS
STUDENT
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Slide 1- 6Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe
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:
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Slide 1- 7Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe
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
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Slide 1- 8Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe
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.
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Slide 1- 9Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe
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:
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Slide 1- 10Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe
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)
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Slide 1- 11Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe
Typical DBMS Component Modules
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Slide 1- 12Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe
A Physical Centralized Architecture
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Slide 1- 13Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe
Logical two-tier client server architecture
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Slide 1- 14Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe
Three-tier client-server architecture
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Slide 1- 15Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe
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
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Slide 1- 16Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe
History of Data Models Network Model Hierarchical Model Relational Model Object-oriented Data Models Object-Relational Models