Overview
Semantic layers are an important part of data engineering that help users understand and interact with data more easily. They act as a bridge between complex data sources and business users, allowing for simpler queries and better insights. By using semantic layers, organizations can improve data accessibility and ensure consistent data definitions across teams, making it easier to make informed decisions.
📚 Key Learning Objectives
- ✓ Define what a semantic layer is and its purpose.
- ✓ Identify the key components of a semantic layer.
- ✓ Explain the benefits of using semantic layers in data projects.
- ✓ Demonstrate how to create a basic semantic layer.
- ✓ Evaluate the impact of semantic layers on data accessibility.
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