This course provides a foundational understanding of ETL (Extract, Transform, Load) processes. Learn how data is moved, cleaned, and structured for analysis and use in applications. Covers the core principles of data extraction, transformation rules, and loading techniques.
Prerequisites Basic computer literacy
Level:
ETL Definition
Define ETL and explain its purpose in data processing.
Extraction Methods
Identify different methods for extracting data from various sources.
Transformation Techniques
Describe common data transformation operations like cleaning, validation, and structuring.
Loading Strategies
Explain different approaches for loading data into target systems.
Pipeline Components
Recognize the typical components and workflow of an ETL pipeline.
Basic Pipeline Design
Outline the steps involved in designing a simple ETL process.