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 then store it in a database. Understanding ETL is essential for anyone looking to work with data, as it helps in making informed decisions based on accurate information.
📚 Key Learning Objectives
- ✓ Define the ETL process and its importance in data analytics.
- ✓ Identify different data sources for extraction.
- ✓ Explain the transformation process and its significance.
- ✓ Demonstrate loading data into a target database.
- ✓ Evaluate the quality of data before and after ETL.
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