Data Warehousing and BI Certification Training Course Syllabus

Overview: This comprehensive, project-driven course guides learners through the complete data warehousing and business intelligence lifecycle, from foundational concepts to hands-on implementation using industry-standard tools. With a total time commitment of approximately 30 hours, the course blends theoretical knowledge with practical labs in ERwin, Informatica, Tableau, and OLAP technologies. Each module builds progressively, culminating in a capstone project that integrates architecture design, ETL development, reporting, and visualization—equipping learners with portfolio-ready artifacts for real-world BI roles.

Module 1: Introduction to Data Warehousing & BI

Estimated time: 3 hours

• Understand the differences between data warehousing (DW) and OLTP systems
• Explore the business intelligence (BI) lifecycle and its components
• Learn key terminology in DW and BI environments
• Analyze real-world data warehousing use cases and define a BI roadmap

Module 2: Data Warehouse Architecture

Estimated time: 3 hours

• Compare Inmon and Kimball data warehouse design methodologies
• Study hub-and-spoke and bus architecture patterns
• Identify integration points across enterprise data sources
• Design a high-level data warehouse architecture diagram

Module 3: Dimension & Fact Tables

Estimated time: 3 hours

• Design star and snowflake schema models
• Create fact tables and dimension tables using ERwin
• Implement slowly changing dimensions (SCD) techniques
• Populate schema models with sample data for validation

Module 4: ETL Fundamentals & Informatica

Estimated time: 6 hours

• Understand ETL process design and data transformation patterns
• Perform data cleansing and staging operations from CSV sources
• Use Informatica PowerCenter components: mappings, workflows, and sessions
• Develop and execute an ETL pipeline using Informatica tools

Module 5: Business Reporting & Data Visualization

Estimated time: 6 hours

• Create paginated reports and parameterized dashboards
• Apply core data visualization principles and dashboard design best practices
• Build interactive dashboards using Tableau or Power BI
• Introduce DAX basics for calculated measures and fields

Module 6: OLAP & Data Cubes

Estimated time: 3 hours

• Design OLAP cubes with measures and dimensions
• Understand multidimensional data structures and cube hierarchies
• Write basic MDX queries to retrieve key business metrics
• Deploy and query a data cube for analytical reporting

Module 7: Capstone Project

Estimated time: 3 hours

• Design an end-to-end data warehouse solution
• Implement ETL workflows to load and transform data
• Develop reports, dashboards, and OLAP cubes for stakeholder insights

Prerequisites

• Familiarity with SQL fundamentals
• Basic understanding of data modeling concepts
• Experience with relational databases

What You'll Be Able to Do After

• Design enterprise-grade data warehouse architectures
• Model dimensional schemas using ERwin and best practices
• Build and manage ETL pipelines using Informatica PowerCenter
• Create interactive reports and dashboards in Tableau or Power BI
• Deploy and query OLAP cubes for advanced analytics