Oracle Database 19c: Data Warehousing Concepts Training Course
Oracle Database 19c serves as a powerful platform for constructing and managing enterprise data warehouses designed to support analytical workloads.
This live, instructor-led training, available online or onsite, targets beginner-level data professionals and analysts seeking to grasp the foundational concepts and architecture of Oracle-based data warehouse systems.
Upon completing this training, participants will be able to:
- Grasp the core concepts and architecture of Oracle data warehousing.
- Explain standard data warehouse components, such as fact and dimension tables.
- Identify use cases and the advantages of Oracle data warehousing within business intelligence.
- Prepare for advanced training in Oracle ETL, performance tuning, and warehouse optimization techniques.
Format of the Course
- Interactive lectures and discussions.
- Practical application of Oracle SQL and exploration of warehouse schemas.
- Guided conceptual exercises and analysis of warehouse designs.
Course Customization Options
- To request customized training tailored to your internal data models or analytics objectives, please contact us to arrange a session.
Course Outline
Introduction to Data Warehousing
- What constitutes 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, 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
- A solid understanding of relational databases
- Basic proficiency in SQL
- No prior experience with Oracle data warehousing is required
Audience
- Data analysts
- IT staff members planning to work with Oracle data warehousing
- Business intelligence teams
Open Training Courses require 5+ participants.
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