Course Outline

Introduction to Data Warehousing for Government

  • What is a data warehouse?
  • Benefits of warehousing in analytics and reporting for government operations
  • Oracle Database 19c support for warehousing in public sector environments

Oracle Data Warehouse Architecture for Government

  • Key components: source data, ETL, staging, and presentation layers for government use
  • Star vs. snowflake schemas in governmental data structures
  • Oracle tools for managing DW environments in public sector organizations

Data Modeling Concepts for Government

  • Fact and dimension tables for government datasets
  • Surrogate keys and granularity in governmental data modeling
  • Slowly changing dimensions (SCD) basics for public sector applications

Introduction to ETL Processes for Government

  • Overview of ETL and Oracle-supported tools for government use
  • Batch vs. real-time loading in governmental data environments
  • Challenges in data integration and quality for government operations

Query and Reporting Concepts for Government

  • Basics of OLAP vs. OLTP workloads for government reporting
  • How Oracle optimizes queries for data warehouses in public sector contexts
  • Introduction to materialized views and aggregates for governmental analytics

Planning and Scaling Oracle Warehouses for Government

  • Hardware and architecture considerations for government agencies
  • Partitioning and compression benefits in public sector data warehouses
  • Oracle licensing and feature overview for government use

Use Cases and Best Practices for Government

  • Warehouse design case studies for government projects
  • Best practices for planning Oracle DW projects in the public sector
  • Getting started with a pilot implementation for government agencies

Summary and Next Steps for Government

Requirements

  • A foundational understanding of relational databases
  • Basic knowledge of SQL
  • No prior experience with Oracle data warehousing is necessary

Audience for Government

  • Data analysts
  • IT professionals planning to work with Oracle data warehousing solutions
  • Business intelligence teams
 14 Hours

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