What will you learn in Data Warehousing and BI Certification Training Course
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Grasp Data Warehousing and BI fundamentals, including architectures and lifecycle
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Design dimensional schemas with fact and dimension tables using ERwin
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Implement ETL pipelines to extract, transform, and load data efficiently
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Use Informatica PowerCenter (or similar ETL tools) for data integration workflows
Program Overview
Module 1: Introduction to Data Warehousing & BI
⏳ 3 hours
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Topics: DW vs. OLTP systems, BI lifecycle, key terminology
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Hands-on: Explore real-world DW use cases and outline a BI roadmap
Module 2: Data Warehouse Architecture
⏳ 3 hours
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Topics: Inmon vs. Kimball approaches, hub-and-spoke, bus architectures
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Hands-on: Design a high-level architecture diagram for a sample enterprise
Module 3: Dimension & Fact Tables
⏳ 3 hours
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Topics: Star and snowflake schemas, slowly changing dimensions
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Hands-on: Create dimension and fact tables in ERwin and populate with sample data
Module 4: Data Modeling Techniques
⏳ 3 hours
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Topics: Conceptual, logical, and physical modeling; normalization vs. denormalization
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Hands-on: Translate a logical model into a physical schema in a relational database
Module 5: ETL Fundamentals
⏳ 3 hours
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Topics: ETL process design, data cleansing, transformation patterns
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Hands-on: Build an ETL workflow to load CSV data into staging tables
Module 6: ETL Tools & Informatica
⏳ 3 hours
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Topics: PowerCenter components, mappings, workflows, sessions
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Hands-on: Develop an Informatica mapping to transform and load data
Module 7: Business Reporting ⏳3 hours
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Topics: Report types, parameters, drill-down capabilities
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Hands-on: Create paginated reports and parameterized dashboards
Module 8: Data Visualization
⏳3 hours
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Topics: Visualization principles, dashboard design, DAX basics
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Hands-on: Build an interactive dashboard in Tableau or Power BI
Module 9: OLAP & Data Cubes
⏳ 3 hours
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Topics: Cube design, measures and dimensions, MDX queries
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Hands-on: Deploy an OLAP cube and query it for key metrics
Module 10: Capstone Project
⏳ 3 hours
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Topics: End-to-end implementation, performance considerations
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Hands-on: Execute a mini-project covering architecture, ETL, reporting, and OLAP
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Job Outlook
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The average U.S. Business Intelligence Developer salary is $153,400 per year
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Employment of database administrators and BI developers is projected to grow 9% from 2023 to 2033
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Skills in DW architecture, ETL, and BI tools are in high demand across finance, healthcare, and retail
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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
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IBM Data Warehouse Engineer Professional Certificate Course – Gain hands-on experience building and managing enterprise data warehouses for real-world applications.
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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.
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Data Warehousing Certification Training Course – Master the fundamentals of data warehousing, cloud storage, and analytics-ready data architecture.
Related Reading
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What Is Data Management – Understand how effective data management supports BI strategies and data warehouse optimization.
