Overview
ETL stands for Extract, Transform, Load. It is a process used in data analytics to gather data from different sources, change it into a usable format, and load it into a data warehouse. Understanding ETL is essential for anyone looking to work with data, as it helps in organizing and analyzing information effectively. This introduction will cover the basics of each step in the ETL process and its importance in data management.
📚 Key Learning Objectives
- ✓ Define the ETL process and its components.
- ✓ Identify different data sources for extraction.
- ✓ Explain the transformation techniques used in ETL.
- ✓ Describe the loading process into data warehouses.
- ✓ Recognize the importance of ETL in data analytics.
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