Part 5/10:
What is a Semantic Layer?
A semantic layer builds relationships among data entities—such as customers, leads, or revenue metrics—making them accessible in business terms. For example, instead of multiple teams defining "lead" differently based on their systems, a semantic layer ensures everyone refers to and understands it uniformly across the organization.
Components of a Semantic Layer
Data Modeling: Defines calculations, relationships, and metrics consistently.
Access Control: Manages user permissions to ensure data security.
Caching: Enhances performance by reducing repetitive data fetches.
API Integration: Simplifies data integration across multiple sources with ease of ETL (Extract, Transform, Load) processes.