Data Modeling for BI: Engineering Systems and Performance Metrics

About the Course:

Understand how to design performant data models that align with engineering systems and processes. This course emphasizes star/snowflake schema and performance optimization. Design and optimize data models for analytical dashboards by structuring engineering systems into efficient schemas. Apply dimensional modeling techniques (Star, Snowflake), focusing on fact and dimension table design, managing hierarchies, and many-to-many relationships, and optimizing joins for fast query performance. Utilize indexing and aggregation strategies to enhance data retrieval efficiency.

Course Objectives:

• Create efficient data models for analytical dashboards
• Map engineering systems into structured schemas
• Optimize joins and relationships for fast queries

Who is the Target Audience?

• Engineers, analysts, and professionals interested in data modeling for bi: engineering systems and performance metrics.

Basic Knowledge:

• Basic understanding of related engineering or technical concepts.