Learning Objectives
Overview
GlobalMart, a leader in retail, was facing a familiar problem — their old data system was slowing them down. Reports took too long, costs kept rising, and growing data volumes made scaling impossible. The solution? Moving their entire data warehouse to Snowflake, a cloud platform built for speed, flexibility, and growth.
This project takes you inside GlobalMart’s bold transformation journey. You’ll learn how to:
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Move vast amounts of data smoothly from SQL Server to the cloud
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Design a smart, efficient data warehouse that supports fast, reliable analysis
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Build automated pipelines to keep data fresh and accurate
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Solve real-world challenges like minimizing downtime and ensuring data quality
But this isn’t just about technology — it’s about giving businesses the ability to make faster, smarter decisions with their data.
If you want to master the skills behind one of today’s most sought-after data migrations, and understand how a top retailer stays ahead with modern data strategies, this project is your starting point.
Prerequisites
- Solid understanding of SQL for writing complex queries, transformations, and validation scripts.
- Experience with Snowflake data warehouse concepts and schema design
- Familiarity with cloud storage platforms such as AWS S3, Azure Blob Storage, or GCP Storage.
- Knowledge of data ingestion techniques including bulk loading and streaming ingestion in Snowflake