Extract Transform and Load

This module provides an introduction to the ETL (Extract, Transform, Load) process, a critical technology for integrating and processing data from multiple sources into a target system like a data warehouse. Learners will explore key phases, including data extraction methods (full, incremental, and update notification), transformation techniques (cleaning, standardizing, and enriching data), and loading strategies (simple accumulation and rolling load). The module also covers popular ETL tools, data integration techniques, and methods for handling real-time data changes. Additionally, it emphasizes the importance of optimizing ETL performance through proper data analysis and monitoring.