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Course Outline
Overview of Database Fundamentals
- Definition and scope of database systems
- Classification of database architectures
- Fundamentals of relational data structures
- Database Management Systems (DBMS) landscape
- Core operational functions of a DBMS
- Survey of leading DBMS platforms for government applications
Principles of Database Architecture
- Distinctions between conceptual, logical, and physical data models
- Foundations of Entity-Relationship (ER) modeling methodology
- Construction and interpretation of ER diagrams
- Components: entities, attributes, and relational links
Data Normalization and Schema Design
- Application of normal forms (1NF, 2NF, 3NF, BCNF)
- Advantages of data normalization for integrity and efficiency
- Case studies demonstrating normalization processes
- Strategic use of denormalization for performance optimization
Structured Query Language (SQL) Essentials
- Syntax standards and structural components of SQL
- Definition and application of data types
- Schema definition commands: CREATE, ALTER, and DROP
- Enforcement mechanisms: PRIMARY KEY, FOREIGN KEY, UNIQUE, and NOT NULL constraints
Data Modification Operations in SQL
- Insertion of records using the INSERT statement
- Efficient bulk data loading techniques
- Modification and removal of records via UPDATE and DELETE statements
- Targeted operations using the WHERE clause
Data Retrieval Techniques Using SQL
- Execution of SELECT queries for data access
- Conditional filtering using the WHERE clause
- Result sorting via ORDER BY clauses
- Pagination and subset retrieval with LIMIT and OFFSET
Complex SQL Operations
- Merging datasets through INNER, LEFT, RIGHT, and FULL JOINs
- Implementation of nested subqueries
- Data aggregation using GROUP BY and HAVING clauses
- Application of aggregate functions (COUNT, SUM, AVG, MAX, MIN)
Performance Management via Indexes and Views
- Development and utilization of indexing strategies
- Evaluation of indexing benefits and trade-offs
- Creation and administration of virtual tables (views)
- Leveraging views to streamline complex query execution
Data Integrity, Security, and Transaction Control
- Configuration of user roles and access permissions
- Implementation of security protocols for sensitive data
- Adherence to ACID properties for reliable transactions
- Control of transaction boundaries using COMMIT and ROLLBACK
System Optimization and Operational Maintenance
- Analytic methods for enhancing SQL query performance
- Interpretation of execution plans via EXPLAIN
- Comprehensive backup planning and procedures
- Data recovery and restoration protocols
Conclusion and Future Learning Paths
Requirements
- Fundamental knowledge of computing functions
Target Audience
- Database administrators
- Information technology professionals
21 Hours
Testimonials (2)
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Vincent Long - ASSMANG PTY LTD
Course - Business Intelligence with SSAS
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