Data Modeling Standards and Best Practices Guide

This guide presents data modeling standards and best practices for modern data platforms. It aims to assist teams in constructing data models that are consistent, high-performing, and scalable for enterprise needs. The document outlines foundational principles such as dimensional modeling standards, fact and dimension table design, and the management of many-to-many relationships through bridge tables. It details the importance of maintaining granularity in fact tables, emphasizing that each should represent a single business process to ensure clarity and accuracy in analysis. The guide also discusses the types of fact tables, including transaction, accumulating snapshot, and periodic snapshot tables, and provides recommendations for effective dimension table design. Additionally, it covers data types and general guidelines for optimizing performance and storage efficiency. The document serves as a comprehensive resource for establishing effective data modeling practices.