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Duration 14 hours
Course Outline
Fundamentals of Data Warehousing
- Definition and core characteristics of a data warehouse
- Strategic advantages of warehousing in analytics and reporting for government operations
- Oracle Database 19c capabilities supporting warehousing environments
Oracle Data Warehouse Architectural Framework
- Core architectural elements: source data, ETL processes, staging areas, and presentation layers
- Comparative analysis of star versus snowflake schema designs
- Oracle-specific tools and methodologies for managing data warehouse (DW) environments
Principles of Data Modeling
- Structure and function of fact tables and dimension tables
- Implementation of surrogate keys and data granularity definitions
- Foundational concepts of slowly changing dimensions (SCD)
Overview of ETL Methodologies
- Explanation of Extract, Transform, Load (ETL) processes and Oracle-supported tools for government data integration
- Distinctions between batch processing and real-time data loading strategies
- Addressing challenges in data integration and ensuring data quality standards
Query Optimization and Reporting Principles
- Differentiating Online Analytical Processing (OLAP) from Online Transaction Processing (OLTP) workloads
- Oracle’s approaches to query optimization within data warehouse contexts
- Introduction to materialized views and aggregate data structures
Strategic Planning and Scalability for Oracle Warehouses
- Evaluation of hardware requirements and architectural scalability considerations
- Utilizing partitioning and compression techniques to enhance performance
- Overview of Oracle licensing models and available enterprise features
Application Scenarios and Operational Best Practices
- Examination of warehouse design case studies relevant to public sector needs
- Recommended best practices for planning and executing Oracle DW projects for government stakeholders
- Initiating pilot implementations and assessing outcomes
Conclusion and Recommended Pathways
Requirements
- Foundational understanding of relational database systems
- Basic proficiency in Structured Query Language (SQL)
- No prior experience with Oracle data warehousing is required
Target Audience
- Data analysts
- IT personnel responsible for managing Oracle data warehousing systems
- Business intelligence teams
Testimonials (1)
good explanation on each points and provide assignment for practices.