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Course Outline

Overview of Data Warehousing

  • Defining the data warehouse
  • Advantages of warehousing in analytics and reporting scenarios
  • Warehousing capabilities within Oracle Database 19c

Oracle Data Warehouse Structural Design

  • Essential components: source data, ETL processes, staging areas, and presentation layers
  • Comparison of star and snowflake schema designs
  • Oracle-specific tools for administering DW environments

Principles of Data Modeling

  • Structure and purpose of fact and dimension tables
  • Concepts of surrogate keys and data granularity
  • Introduction to Slowly Changing Dimensions (SCD)

Getting Started with ETL Workflows

  • Overview of ETL methodologies and Oracle-integrated tools
  • Distinctions between batch processing and real-time data loading
  • Common challenges in data integration and maintaining data quality

Query Optimization and Reporting Principles

  • Differentiating OLAP and OLTP workloads
  • Strategies Oracle employs to optimize data warehouse queries
  • Introduction to materialized views and data aggregates

Planning and Scaling Oracle Warehouses

  • Considerations regarding hardware and system architecture
  • Benefits of data partitioning and compression techniques
  • Overview of Oracle licensing and available features

Practical Applications and Best Practices

  • Analysis of warehouse design case studies
  • Recommended approaches for planning Oracle DW projects
  • Steps for initiating a pilot implementation

Recap and Future Directions

Requirements

  • Familiarity with relational database systems
  • Foundational proficiency in SQL
  • Prior experience with Oracle data warehousing is not a prerequisite

Target Audience

  • Data analysts
  • IT personnel preparing to engage with Oracle data warehousing solutions
  • Business intelligence teams
 14 Hours

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