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Course Outline

Overview of Enterprise Data Warehousing

  • Definition and scope of a data warehouse
  • Value proposition for analytics, reporting, and policy decision-making
  • Oracle Database 19c capabilities relevant for government agencies

Architecture of Oracle Data Warehousing

  • Core architectural components: source systems, extraction transformation and loading (ETL), staging areas, and presentation layers
  • Comparison of star and snowflake schema models
  • Oracle tools for managing data warehouse environments within federal IT infrastructure

Data Modeling Fundamentals

  • Structure and function of fact and dimension tables
  • Use of surrogate keys and definition of data granularity
  • Principles of slowly changing dimensions (SCD) for historical tracking

ETL Process Fundamentals

  • ETL workflow overview and supported Oracle technologies
  • Operational distinctions between batch processing and real-time data loading
  • Addressing challenges related to data integration standards and quality assurance

Query Optimization and Reporting Frameworks

  • Differentiating online analytical processing (OLAP) from online transaction processing (OLTP) workloads
  • Oracle query optimization techniques for large-scale data warehouse operations
  • Application of materialized views and precomputed aggregates for performance enhancement

Strategic Planning and Scalability for Oracle Warehouses

  • Infrastructure requirements and architectural best practices
  • Advantages of table partitioning and data compression for efficiency
  • Overview of Oracle licensing models and feature entitlements for government use cases

Implementation Use Cases and Operational Best Practices

  • Analysis of enterprise warehouse design case studies
  • Guiding principles for planning Oracle data warehouse initiatives in the public sector
  • Guidelines for initiating a pilot implementation program

Executive Summary and Strategic Next Steps

Requirements

  • Foundational comprehension of relational database management systems
  • Elementary proficiency in Structured Query Language (SQL)
  • No previous exposure to Oracle data warehousing solutions is necessary

Audience

  • Data analysts supporting government operations for government entities
  • Information technology personnel designated to implement Oracle data warehousing infrastructure
  • Business intelligence units responsible for strategic decision-making support
 14 Hours

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