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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

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