📄️ Overview
This guide is intended for users and teams building datamarts to connect with the Denzing platform. It outlines best practices around schema design, transformation logic, and preparing the data for semantic and AI-driven use.
📄️ Table Design Tutorial
Introduction to the NBA and Its Data Ecosystem
📄️ Data Transformation
To enable effective KPI tracking and analytics, the transformation layer should:
📄️ Creating Schema and Semantics
The guidelines provided below outline best practices to follow when creating your own metadata or modifying existing metadata generated by the agent. Adhering to these practices ensures consistency, accuracy, and clarity in metadata management. This helps improve data discoverability and usability.