Oracle Database 19c: Data Warehousing Concepts

• An understanding of relational databases
• Basic knowledge of SQL
• No prior experience with Oracle data warehousing required

Audience

• Data analysts
• IT staff planning to work with Oracle data warehousing
• Business intelligence teams

Oracle Database 19c is a robust platform for building and managing enterprise data warehouses that support analytical workloads.

This instructor-led, live training (online or onsite) is aimed at beginner-level data professionals and analysts who wish to understand the foundational concepts and architecture of Oracle-based data warehouse systems.

By the end of this training, participants will be able to:

• Understand key concepts and architecture of Oracle data warehousing.
• Describe typical data warehouse components like fact and dimension tables.
• Recognize use cases and benefits of Oracle data warehousing in business intelligence.
• Prepare for deeper training in Oracle ETL, performance, and warehouse optimization techniques.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of Oracle SQL and warehouse schema exploration.
• Guided conceptual exercises and warehouse design analysis.

Course Customization Options

• To request a customized training for this course based on your internal data models or analytics goals, please contact us to arrange.

Introduction to Data Warehousing

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

Oracle Data Warehouse Architecture

• Key components: source data, ETL, staging, presentation
• Star vs snowflake schemas
• Oracle tools for managing DW environments

Data Modeling Concepts

• Fact and dimension tables
• Surrogate keys and granularity
• Slowly changing dimensions (SCD) basics

Introduction to ETL Processes

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

Query and Reporting Concepts

• Basics 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
• Partitioning and compression benefits
• 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