Unit 1 Objective Help student appreciate the data structures or presentation in relational databases
Learning outcome
We expect clear understanding of Data model types
Section 1: Database System Development Lifecycle-SDLC
Section 2: SDLC stage 4: Logical Data Model
Section 3: SDLC stage 5: Physical Data Model Section 4: Transforming Logical to Physical Model (i.e. Transforming ER diagram to Relational Table)
4
Section 1: System Development Life Cycle -SDLC Basically Data Modeling is an Activity for Planning & Analysis before taken Action Project Identification and Contract Selection Project Initiation and Planning
Analysis
Logical Design
Physical Design Implementation
*Database activity Map Maintenance
*SDLC Purpose – To guide thorough Analysis before investment *SDLC Application Outcome – Helps meet system specifications/business needs of client
Logical modeling deals with gathering business requirements and converting those requirements into a model. The logical model revolves around the needs of the business, not the database, although the needs of the business are used to establish the needs of the database. Output/Deliverables after completion of Logical Modeling (Stage-4) 1. 2. 3.
Produce
Entity
Relationship
diagram
(
key ): Helps developer(s) know entities concern & their relationship Draw Business process diagrams: Helps developers get idea of how data moves within client organization. Document client/user feedback on 1&2: Helps contractor & client agree upon project final deliverables/expectations of customer before signing the project charter to start work.
The Entity-Relationship model provides familiar and convenient communication presentation between users and the Database Administrator for the purpose of modeling the data’s structure. Similar to housing/building plan!
ENTITY : Anything that exists. E.g. Each CHAIR is an Entity, Each person is an Entity (often corresponds to a row in a table)
ENTITY SET: Group of similar entities forms an Entity Set. Example All persons. All buildings, All departments.
ATTRIBUTES: The properties that characterize an entity set. E.g. Name , Address , Skill etc. (often corresponds to a field in a table) RELATIONSHIP: Association between two or more entities/Tables. Example we may have the relationship that an Employees works in Department (corresponds to Primary key-Foreign key on a table) o RELEVANCE OF E-R MODELING: Is used for normalizing the database design at any point necessary. It is the main blueprint. Normalization also means taking away redundancy or dividing table into segment to make any modification easy in the database
E-R Basic Notation Is used purposefully to communicate to developers what is expected. Building Architects also have their symbols to guide the masons.
Relationships Line: illustrate an association between two tables/entities. In the physical data model, relationships are represented by stylized lines.
Next week: SDLC Stage 5: Physical Data model & How to transform logical model to physical model (i.e. from ER diagram-to-Tables)
Next week Physical Data Model –Read on the topic before class
22 Sep 2016 - Unit 1 Objective. â Help student appreciate the data structures or presentation in relational databases. Learning outcome. â We expect clear understanding of Data model types ...
1. User Data. 2. Metadata or System Catalog. Page 5. DBMSs are highly complex and sophisticated pieces of software that aim to provide the services or functions set out in the Codd's rules. It is not possible to generalize the component structure of
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