This Data Warehousing course provides a deep dive into designing, building, and managing robust data warehouse solutions. Throughout the course, you'll explore fundamental concepts and advanced techniques that are essential for any data professional.

The curriculum covers:

Introduction & History: Understand the evolution of data warehousing and its role in modern data ecosystems.
Core Components: Learn about data warehouse architecture, including source, staging, and presentation layers, ETL/ELT processes, and querying.
Dimensional Modeling & Schema Design: Master star schemas, snowflake schemas, Slowly Changing Dimensions (SCDs), and advanced schema techniques to capture business history effectively.
Performance Optimization: Discover strategies like indexing, partitioning, and materialized views to enhance query performance.
Real-Time & Cloud Solutions: Compare traditional on-premises systems with cloud-native and hybrid architectures, and explore real-time data processing techniques.
Data Visualization & Reporting: Connect your warehouse to BI tools like Tableau and Power BI to create interactive dashboards and reports.
Case Study Project: Apply your learning in a comprehensive capstone project using FashionFusion, a real-world scenario that requires both batch and real-time processing for structured and unstructured data.

By the end of this course, you’ll be equipped with practical, hands-on skills to build and manage scalable data warehouses, making you ready to tackle real-world data challenges in any industry.

Introduction to Data Warehousing