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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 versus snowflake schemas
- Oracle tools for managing DW environments
Data Modeling Concepts
- Fact and dimension tables
- Surrogate keys and granularity
- Fundamentals of slowly changing dimensions (SCD)
Introduction to ETL Processes
- Overview of ETL and Oracle-supported tools
- Batch versus real-time loading
- Challenges in data integration and quality
Query and Reporting Concepts
- Basics of OLAP versus OLTP workloads
- How Oracle optimizes queries for data warehouses
- Introduction to materialized views and aggregates
Planning and Scaling Oracle Warehouses
- Hardware and architectural 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
- A foundational understanding of relational databases
- Basic knowledge of SQL
- No previous experience with Oracle data warehousing is required
Target Audience
- Data analysts
- IT professionals preparing to work with Oracle data warehousing
- Business intelligence teams
14 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 2600 € + VAT*
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