What will you learn in Data Warehousing and BI Certification Training Course
Grasp Data Warehousing and BI fundamentals, including architectures and lifecycle
Design dimensional schemas with fact and dimension tables using ERwin
Implement ETL pipelines to extract, transform, and load data efficiently
Use Informatica PowerCenter (or similar ETL tools) for data integration workflows
Program Overview
Module 1: Introduction to Data Warehousing & BI
⏳ 3 hours
Topics: DW vs. OLTP systems, BI lifecycle, key terminology
Hands-on: Explore real-world DW use cases and outline a BI roadmap
Module 2: Data Warehouse Architecture
⏳ 3 hours
Topics: Inmon vs. Kimball approaches, hub-and-spoke, bus architectures
Hands-on: Design a high-level architecture diagram for a sample enterprise
Module 3: Dimension & Fact Tables
⏳ 3 hours
Topics: Star and snowflake schemas, slowly changing dimensions
Hands-on: Create dimension and fact tables in ERwin and populate with sample data
Module 4: Data Modeling Techniques
⏳ 3 hours
Topics: Conceptual, logical, and physical modeling; normalization vs. denormalization
Hands-on: Translate a logical model into a physical schema in a relational database
Module 5: ETL Fundamentals
⏳ 3 hours
Topics: ETL process design, data cleansing, transformation patterns
Hands-on: Build an ETL workflow to load CSV data into staging tables
Module 6: ETL Tools & Informatica
⏳ 3 hours
Topics: PowerCenter components, mappings, workflows, sessions
Hands-on: Develop an Informatica mapping to transform and load data
Module 7: Business Reporting ⏳3 hours
Topics: Report types, parameters, drill-down capabilities
Hands-on: Create paginated reports and parameterized dashboards
Module 8: Data Visualization
⏳3 hours
Topics: Visualization principles, dashboard design, DAX basics
Hands-on: Build an interactive dashboard in Tableau or Power BI
Module 9: OLAP & Data Cubes
⏳ 3 hours
Topics: Cube design, measures and dimensions, MDX queries
Hands-on: Deploy an OLAP cube and query it for key metrics
Module 10: Capstone Project
⏳ 3 hours
Topics: End-to-end implementation, performance considerations
Hands-on: Execute a mini-project covering architecture, ETL, reporting, and OLAP
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Job Outlook
The average U.S. Business Intelligence Developer salary is $153,400 per year
Employment of database administrators and BI developers is projected to grow 9% from 2023 to 2033
Skills in DW architecture, ETL, and BI tools are in high demand across finance, healthcare, and retail
Freelance opportunities exist for small-to-midsize companies needing rapid BI implementations
Explore More Learning Paths
Expand your expertise in data warehousing and business intelligence with these carefully curated courses designed to help you manage large datasets, optimize ETL processes, and drive data-driven decision-making.
Related Courses
IBM Data Warehouse Engineer Professional Certificate Course – Gain hands-on experience building and managing enterprise data warehouses for real-world applications.
BI Foundations with SQL, ETL, and Data Warehousing Specialization Course – Learn the core concepts of business intelligence, SQL, ETL, and data warehousing for analytical workflows.
Data Warehousing Certification Training Course – Master the fundamentals of data warehousing, cloud storage, and analytics-ready data architecture.
Related Reading
What Is Data Management – Understand how effective data management supports BI strategies and data warehouse optimization.
Specification: Data Warehousing and BI Certification Training Course
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FAQs
- Basic SQL knowledge is recommended but not mandatory.
- Introductory modules cover DW concepts, architecture, and BI lifecycle.
- Hands-on labs gradually introduce dimensional modeling and ETL processes.
- Focuses on practical, project-driven learning using ERwin, Informatica, and Tableau.
- Suitable for beginners aiming to start a career in BI or Data Warehousing.
- Covers conceptual, logical, and physical modeling for data warehouses.
- Teaches star and snowflake schemas, dimension and fact table creation.
- Includes ETL pipelines for data extraction, transformation, and loading.
- Hands-on labs with Informatica and PowerCenter for real-world implementation.
- Capstone project simulates end-to-end DW and BI deployment.
- Covers designing dashboards using Tableau or Power BI.
- Includes paginated reports, drill-down features, and parameterized dashboards.
- Teaches OLAP, cube creation, and MDX query usage.
- Hands-on labs reinforce real-world BI visualization techniques.
- Focuses on transforming data into actionable insights for stakeholders.
- Covers ETL process design, data cleansing, and transformation patterns.
- Hands-on exercises with Informatica mapping and workflow creation.
- Teaches efficient and scalable data integration workflows.
- Prepares learners for enterprise-grade ETL projects.
- Emphasizes maintaining data quality and performance optimization.
- Roles include Business Intelligence Developer, Data Warehouse Developer, and ETL Specialist.
- Freelance opportunities exist for small-to-midsize companies needing BI solutions.
- Average U.S. BI Developer salary is $153,400 per year.
- High demand in finance, healthcare, retail, and analytics-driven sectors.
- Certification builds a portfolio with capstone project artifacts for employers.
