Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Foundations of Data Warehousing
- Defining the data warehouse
- Advantages of warehousing for analytics and reporting tasks
- Warehousing capabilities supported by Oracle Database 19c
Oracle Data Warehouse Structure
- Core elements: source data, ETL, staging, and presentation layers
- Comparative analysis of star and snowflake schemas
- Oracle utilities for overseeing DW environments
Data Modeling Principles
- Fact tables and dimension tables
- Surrogate keys and data granularity
- Introductory concepts of slowly changing dimensions (SCD)
Overview of ETL Workflows
- Summary of ETL processes and compatible Oracle tools
- Batch processing versus real-time data loading
- Common hurdles in data integration and quality management
Querying and Reporting Essentials
- Distinguishing between OLAP and OLTP workloads
- Oracle’s approach to query optimization for warehouses
- Introductory look at materialized views and aggregates
Strategy for Scaling Oracle Warehouses
- Hardware and architectural planning considerations
- Advantages of partitioning and compression techniques
- Overview of Oracle licensing and feature sets
Practical Applications and Recommended Practices
- Analysis of warehouse design case studies
- Best practices for orchestrating Oracle DW projects
- Initial steps for a pilot implementation
Recap and Future Directions
Requirements
- Familiarity with relational database systems
- Fundamental understanding of SQL
- No previous experience with Oracle data warehousing is necessary
Intended Audience
- Data analysts
- IT personnel intending to engage with Oracle warehousing solutions
- Business intelligence teams
14 Hours
Testimonials (1)
good explanation on each points and provide assignment for practices.