This comprehensive Merise guide takes you from conceptual modeling basics to advanced database design, covering everything system analysts and database designers need to master the Merise methodology.
1 - Merise Fundamentals
Getting started with Merise methodology
1. Introduction to Merise
What is Merise, history, principles, and lifecycle
2. Merise Cycles
Conceptual, logical, and physical cycles overview
2 - Conceptual Data Model
Modeling business concepts and relationships
1. Entity-Relationship Model
Entities, attributes, relationships, and cardinalities
2. Conceptual Schema
MCD construction, normalization, and validation
3 - Logical Data Model
Transforming concepts into logical structures
1. Relational Model
Tables, keys, foreign keys, and constraints
2. Normalization
1NF, 2NF, 3NF, BCNF, and denormalization
4 - Process Modeling
Modeling business processes and workflows
1. Process Modeling
MCT construction, activities, and data flows
2. Activity Diagrams
Process flows, decisions, and parallel activities
5 - Physical Implementation
Implementing the logical model in databases
1. Database Implementation
SQL DDL, indexes, views, and stored procedures
2. Performance Optimization
Indexing strategies, query optimization, and tuning
6 - Advanced Concepts
Advanced modeling and design patterns
1. Data Warehousing
Star schema, snowflake schema, and OLAP
2. Legacy Systems
Reverse engineering, migration, and modernization
7 - Tools & Best Practices
Professional tools and methodologies
1. Merise Tools
PowerDesigner, ERwin, MySQL Workbench, and others
2. Project Management
Methodology, documentation, and quality assurance
Merise Concepts
Entity
Relationship
Attribute
Cardinality
MCD
MCT
Normalization
Primary Key
Foreign Key
Index
Constraint
Trigger
View
Stored Procedure
Data Warehouse
Merise main concepts covered in this learning path
Each post will contain practical examples, case studies, and hands-on exercises to help you master Merise from basics to advanced database design and implementation.
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