Introduction to Data Warehouse

Learn the fundamentals of data warehousing, including OLTP vs. OLAP, star schemas, ETL vs. ELT, incremental loading, reliable data pipelines, and warehouse platform selection.

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Course Content

1 sections • 1 lectures •

	Introduction to Data Warehouse		mb

Requirements

PHP, Python, MySQL, Postgres

Description

This introductory course explains how data warehouses help organisations analyse large volumes of historical data without affecting live production systems. Learners will explore the differences between OLTP and OLAP workloads, understand why production queries become slower as data grows, and learn how warehouse architecture addresses these challenges. The course also introduces star-schema design, fact and dimension tables, ETL and ELT approaches, incremental data loading, watermarks, idempotent pipelines, upserts, and safe retry mechanisms. It concludes with an overview of self-hosted databases, managed cloud warehouses, and lakehouse platforms. By the end of the course, learners will understand the core concepts required to design scalable, efficient, and trustworthy data warehouse solutions.