Course Outline
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
Requirements
- 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
Testimonials (5)
I liked very much the format of the training, hands on, directly in sql developer.
Andreea - OPEN COURSE
Course - Oracle Database 19c PL and Advanced SQL
The exercises were explained very good.
Monica - DB Global Technology
Course - PL/SQL in Oracle 19c
the practical part, the transmitted material.
Roman
Course - Oracle SQL LP - Fundamentals
Machine Translated
I learned complex functions and how to apply them
Ana Alexandrescu - DB Global Technology
Course - Oracle SQL Advanced
It was quite hands-on, not too much theory.