Get in Touch

Course Outline

Introduction to Data Warehousing

  • Definition of a data warehouse
  • Benefits of warehousing for analytics and reporting
  • Oracle Database 19c support for warehousing

Oracle Data Warehouse Architecture

  • Key components: source data, ETL, staging, and presentation layers
  • Star schema versus snowflake schema
  • Oracle tools for managing DW environments

Data Modeling Concepts

  • Fact and dimension tables
  • Surrogate keys and granularity
  • Basics of slowly changing dimensions (SCD)

Introduction to ETL Processes

  • Overview of ETL and Oracle-supported tools
  • Batch loading versus real-time loading
  • Challenges in data integration and quality

Query and Reporting Concepts

  • Fundamentals of OLAP vs OLTP workloads
  • How Oracle optimizes queries for data warehouses
  • Introduction to materialized views and aggregates

Planning and Scaling Oracle Warehouses

  • Hardware and architecture considerations
  • Benefits of partitioning and compression
  • Oracle licensing and feature overview

Use Cases and Best Practices

  • Warehouse design case studies
  • Best practices for planning Oracle DW projects
  • Getting started with a pilot implementation

Summary and Next Steps

Requirements

  • Understanding of relational databases
  • Fundamental knowledge of SQL
  • No prior experience with Oracle data warehousing is required

Audience

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

Number of participants


Price per participant

Testimonials (1)

Upcoming Courses

Related Categories