02010 ppt ch02
- 1. Database Systems: Design, Implementation, and Management Eighth Edition Chapter 2 Data Models Database Systems, 8 th Edition
- 2. Objectives About data modeling and why data models are important About the basic data-modeling building blocks What business rules are and how they influence database design How the major data models evolved How data models can be classified by level of abstraction Database Systems, 8 th Edition
- 3. Introduction Designers, programmers, and end users see data in different ways Different views of same data lead to designs that do not reflect organization’s operation Data modeling reduces complexities of database design Various degrees of data abstraction help reconcile varying views of same data Database Systems, 8 th Edition
- 4. Data Modeling and Data Models Data models Relatively simple representations of complex real-world data structures Often graphical Model: an abstraction of a real-world object or event Useful in understanding complexities of the real-world environment Data modeling is iterative and progressive Database Systems, 8 th Edition
- 5. The Importance of Data Models Facilitate interaction among the designer, the applications programmer, and the end user End users have different views and needs for data Data model organizes data for various users Data model is an abstraction Cannot draw required data out of the data model Database Systems, 8 th Edition
- 6. Data Model Basic Building Blocks Entity: anything about which data are to be collected and stored Attribute: a characteristic of an entity Relationship: describes an association among entities One-to-many (1:M) relationship Many-to-many (M:N or M:M) relationship One-to-one (1:1) relationship Constraint: a restriction placed on the data Database Systems, 8 th Edition
- 7. Business Rules Descriptions of policies, procedures, or principles within a specific organization Apply to any organization that stores and uses data to generate information Description of operations to create/enforce actions within an organization’s environment Must be in writing and kept up to date Must be easy to understand and widely disseminated Describe characteristics of data as viewed by the company Database Systems, 8 th Edition
- 8. Discovering Business Rules Sources of business rules: Company managers Policy makers Department managers Written documentation Procedures Standards Operations manuals Direct interviews with end users Database Systems, 8 th Edition
- 9. Discovering Business Rules (continued) Standardize company’s view of data Communications tool between users and designers Allow designer to understand the nature, role, and scope of data Allow designer to understand business processes Allow designer to develop appropriate relationship participation rules and constraints Database Systems, 8 th Edition
- 10. Translating Business Rules into Data Model Components Generally, nouns translate into entities Verbs translate into relationships among entities Relationships are bidirectional Two questions to identify the relationship type: How many instances of B are related to one instance of A? How many instances of A are related to one instance of B? Database Systems, 8 th Edition
- 11. The Evolution of Data Models Database Systems, 8 th Edition
- 12. The Hierarchical Model Developed in the 1960s to manage large amounts of data for manufacturing projects Basic logical structure is represented by an upside-down “tree” Hierarchical structure contains levels or segments Segment analogous to a record type Set of one-to-many relationships between segments Database Systems, 8 th Edition
- 13. Database Systems, 8 th Edition
- 14. The Hierarchical Model (continued) Foundation for current data models Disadvantages of the hierarchical model: Complex to implement Difficult to manage Lacks structural independence Relationships do not conform to 1:M form No standards for how to implement Database Systems, 8 th Edition
- 15. The Network Model Created to represent complex data relationships more effectively Improves database performance Imposes a database standard Conference on Data Systems Languages (CODASYL) created the DBTG Database Task Group (DBTG): defined environment to facilitate database creation Database Systems, 8 th Edition
- 16. The Network Model (continued) Schema Conceptual organization of entire database as viewed by the database administrator Subschema Database portion “seen” by the application programs Data management language (DML) Defines the environment in which data can be managed Database Systems, 8 th Edition
- 17. The Network Model (continued) Resembles hierarchical model Record may have more than one parent Collection of records in 1:M relationships Set composed of two record types Owner Equivalent to the hierarchical model’s parent Member Equivalent to the hierarchical model’s child Database Systems, 8 th Edition
- 18. Database Systems, 8 th Edition
- 19. The Network Model (continued) Disadvantages of the network model Cumbersome Lack of ad hoc query capability placed burden on programmers to generate code for reports Structural change in the database could produce havoc in all application programs Database Systems, 8 th Edition
- 20. The Relational Model Developed by E. F. Codd (IBM) in 1970 Table (relations) Matrix consisting of row/column intersections Each row in a relation called a tuple Relational models considered impractical in 1970 Model conceptually simple at expense of computer overhead Database Systems, 8 th Edition
- 21. The Relational Model (continued) Relational data management system (RDBMS) Performs same functions provided by hierarchical model Hides complexity from the user Relational diagram Representation of entities, attributes, and relationships Relational table stores collection of related entities Database Systems, 8 th Edition
- 22. Database Systems, 8 th Edition
- 23. Database Systems, 8 th Edition
- 24. The Relational Model (continued) SQL-based relational database application involves three parts: User interface Allows end user to interact with the data Set of tables stored in the database Each table is independent from another Rows in different tables related based on common values in common attributes SQL “engine” Executes all queries Database Systems, 8 th Edition
- 25. The Entity Relationship Model Widely accepted standard for data modeling Introduced by Chen in 1976 Graphical representation of entities and their relationships in a database structure Entity relationship diagram (ERD) Uses graphic representations to model database components Entity is mapped to a relational table Database Systems, 8 th Edition
- 26. The Entity Relationship Model (continued) Entity instance (or occurrence) is row in table Entity set is collection of like entities Connectivity labels types of relationships Relationships expressed using Chen notation Relationships represented by a diamond Relationship name written inside the diamond Crow’s Foot notation used as design standard in this book Database Systems, 8 th Edition
- 27. Database Systems, 8 th Edition
- 28. The Object-Oriented (OO) Model Data and relationships contained in single structure known as an object OODM (object-oriented data model) is the basis for OODBMS Semantic data model Objects contain operations Object is self-contained: a basic building-block for autonomous structures Object is an abstraction of a real-world entity Database Systems, 8 th Edition
- 29. The Object-Oriented (OO) Model (continued) Attributes describe the properties of an object Objects that share similar characteristics are grouped in classes Classes are organized in a class hierarchy Inheritance: object inherits methods and attributes of parent class UML based on OO concepts that describe diagrams and symbols Used to graphically model a system Database Systems, 8 th Edition
- 30. Database Systems, 8 th Edition
- 31. The Convergence of Data Models Extended relational data model (ERDM) Semantic data model developed in response to increasing complexity of applications Includes many of OO model’s best features Often described as an object/relational database management system (O/RDBMS) Primarily geared to business applications Database Systems, 8 th Edition
- 32. Database Models and the Internet Internet drastically changed role and scope of database market Focus on Internet makes underlying data model less important Dominance of Web has resulted in growing need to manage unstructured information Current databases support XML XML: the standard protocol for data exchange among systems and Internet services Database Systems, 8 th Edition
- 33. Database Systems, 8 th Edition
- 34. Data Models: A Summary Common characteristics: Conceptual simplicity with semantic completeness Represent the real world as closely as possible Real-world transformations must comply with consistency and integrity characteristics Each new data model capitalized on the shortcomings of previous models Some models better suited for some tasks Database Systems, 8 th Edition
- 35. Database Systems, 8 th Edition
- 36. Degrees of Data Abstraction Database designer starts with abstracted view, then adds details ANSI Standards Planning and Requirements Committee (SPARC) Defined a framework for data modeling based on degrees of data abstraction (1970s): External Conceptual Internal Database Systems, 8 th Edition
- 37. The External Model End users’ view of the data environment ER diagrams represent external views External schema: specific representation of an external view Entities Relationships Processes Constraints Database Systems, 8 th Edition
- 38. Database Systems, 8 th Edition
- 39. The External Model (continued) Easy to identify specific data required to support each business unit’s operations Facilitates designer’s job by providing feedback about the model’s adequacy Ensures security constraints in database design Simplifies application program development Database Systems, 8 th Edition
- 40. Database Systems, 8 th Edition
- 41. The Conceptual Model Represents global view of the entire database All external views integrated into single global view: conceptual schema ER model most widely used ERD graphically represents the conceptual schema Database Systems, 8 th Edition
- 42. Database Systems, 8 th Edition
- 43. The Conceptual Model (continued) Provides a relatively easily understood macro level view of data environment Independent of both software and hardware Does not depend on the DBMS software used to implement the model Does not depend on the hardware used in the implementation of the model Changes in hardware or software do not affect database design at the conceptual level Database Systems, 8 th Edition
- 44. The Internal Model Representation of the database as “seen” by the DBMS Maps the conceptual model to the DBMS Internal schema depicts a specific representation of an internal model Depends on specific database software Change in DBMS software requires internal model be changed Logical independence: change internal model without affecting conceptual model Database Systems, 8 th Edition
- 45. Database Systems, 8 th Edition
- 46. The Physical Model Operates at lowest level of abstraction Describes the way data are saved on storage media such as disks or tapes Requires the definition of physical storage and data access methods Relational model aimed at logical level Does not require physical-level details Physical independence: changes in physical model do not affect internal model Database Systems, 8 th Edition
- 47. Database Systems, 8 th Edition
- 48. Summary A data model is an abstraction of a complex real-world data environment Basic data modeling components: Entities Attributes Relationships Constraints Business rules identify and define basic modeling components Database Systems, 8 th Edition
- 49. Summary (continued) Hierarchical model Set of one-to-many (1:M) relationships between a parent and its children segments Network data model Uses sets to represent 1:M relationships between record types Relational model Current database implementation standard ER model is a tool for data modeling Complements relational model Database Systems, 8 th Edition
- 50. Summary (continued) Object-oriented data model: object is basic modeling structure Relational model adopted object-oriented extensions: extended relational data model (ERDM) OO data models depicted using UML Data modeling requirements are a function of different data views and abstraction levels Three abstraction levels: external, conceptual, internal Database Systems, 8 th Edition