Snowflake SnowPro Certification Practice Test 2026 – Complete Exam Prep Guide

NoSQL is not considered a best practice for data modeling in Snowflake primarily because Snowflake is optimized for structured data and SQL-based operations. The platform is designed to work efficiently with structured datasets that are organized into tables, which aligns with traditional relational database practices.

In contrast, NoSQL databases are more suitable for unstructured or semi-structured data, often excelling in scenarios where the data model may need to change frequently or in applications requiring massive horizontal scaling. While Snowflake has features to handle semi-structured data (like JSON or Avro), it fundamentally operates as a relational database and thus benefits greatly from approaches that utilize structured data modeling techniques.

The other options, such as Star Schema, Snowflake Schema, and 3NF (Third Normal Form), are all relevant and effective approaches to organize data within the Snowflake environment. These schemas help to simplify querying and reporting and can leverage Snowflake's powerful optimization and performance capabilities designed for structured datasets.