How to Create Schemas and Tables in Amazon Redshift (Database Design Part )

Understanding the core difference between a database schema and a database table is critical when designing scalable data warehouses. In this continuation of our series building a Walmart-style database from scratch, we break down how schemas act as logical containers and how tables hold your actual data. Then, we jump straight into Amazon Redshift to design and build out our schemas and tables live. 🚀 What You’ll Learn: • The practical difference between a Schema and a Table in data warehousing • How to organize retail enterprise data into logical schemas • How to write and execute CREATE SCHEMA and CREATE TABLE statements in Amazon Redshift 📌 Timestamps: 0:00 - Database Schemas vs. Tables (The Core Difference) 04:50 - Handling Schema Errors in Redshift (Live DDL Code) 05:20 - Building Out Schemas in Redshift (Live DDL Code) 05:50 - Handling Table Errors in Redshift (Live DDL Code) 06:25 - Building Out Tables in Redshift (Live DDL Code) 💡 Connect & Learn More: Subscribe for more SQL & Data Engineering tips:    / @colesmith6004   Follow me on LinkedIn:   / cole-smith-mba-351474113   #DataEngineering #AmazonRedshift #SQL #DatabaseDesign #Redshift #DataWarehouse