Unit Outlines
Demonstrate Database Design And Development
AI Generated
Intermediate
40 hours
9 topics
Learning Objectives
5 objectives- Understand fundamental concepts of database design including data modeling and normalization.
- Develop proficiency in creating and interpreting Entity-Relationship (ER) diagrams.
- Apply SQL fundamentals to query and manipulate relational databases effectively.
- Explore database development tools and techniques for performance tuning and security.
- Gain knowledge of data warehousing concepts and best practices for scalable database design.
Content Outline
PreviewUnit 384: Database Design and Management
1. Introduction to Database Design
- Importance of database design in efficient data management
- Key concepts:
- Data Modeling
- Normalization
- Relational Database Principles
2. Entity-Relationship (ER) Modeling
- Purpose of ER diagrams
- Components of ER diagrams:
- Entities
- Attributes
- Relationships
- Identifying:
- Primary Keys
- Foreign Keys
- Cardinality (one-to-one, one-to-many, many-to-many)
- Drawing ER diagrams
3. Normalization Techniques
- Goals of normalization:
- Eliminating data redundancy
- Ensuring data integrity
- Functional Dependencies
- Normal Forms:
- First Normal Form (1NF)
- Second Normal Form (2NF)
- Third Normal Form (3NF)
- Denormalization: when and why to use
4. SQL Fundamentals
- Introduction to Structured Query Language (SQL)
- Basic SQL syntax
- SELECT statements:
- Retrieving data
- Filtering data (WHERE clause)
- Sorting data (ORDER BY)
- Joining tables:
- INNER JOIN
- LEFT JOIN
- RIGHT JOIN
- FULL JOIN
5. Database Development Tools
- Overview of popular tools:
- MySQL Workbench
- Microsoft SQL Server Management Studio (SSMS)
- Oracle SQL Developer
- Features and functionalities:
- Database design
- Query building
- Data management
- Debugging and optimization
6. Indexing and Performance Tuning
- Importance of indexing
- Types of indexes:
- Clustered Indexes
- Non-clustered Indexes
- Query optimization techniques
- Best practices for enhancing database performance
7. Database Security and Integrity
- User authentication and authorization
- Encryption methods
- Backup and recovery procedures
- Access control implementations
- Protecting sensitive data
8. Data Warehousing and Business Intelligence
- Concepts of data warehousing
- Data mart design
- ETL (Extract, Transform, Load) processes
- Business intelligence tools:
- Data visualization
- Reporting
9. Database Design Best Practices
- Effective data modeling techniques
- Database optimization strategies
- Maintaining data quality
- Planning for scalability and future growth
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