Learning Objectives
Overview
In the retail world, timing is everything. Globalmart, a leading multinational retailer, struggled with delayed data that slowed down crucial decisions. Imagine waiting a whole day to find out what sold — that’s the old way.
This project shows how Globalmart reinvented itself by unlocking the power of real-time data. With a bold move to live data streams and cloud technology, they transformed their stores into smart, responsive hubs.
Here’s what you’ll discover as you work through this project:
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How to build a seamless pipeline that captures and processes live sales, inventory, and customer data
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Techniques to reduce decision delays from hours to minutes, driving faster, smarter actions
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Ways to spot unusual sales trends instantly and act before problems grow
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Strategies for dynamic pricing and inventory adjustments based on what’s happening right now
By the end, you’ll understand how to turn scattered, delayed data into a competitive advantage — empowering stores to respond faster, optimize stock, and delight customers. Ready to see how real-time insights can reshape retail? This project will take you there.
Prerequisites
- Knowledge of Snowpipe, streams, tasks, and best practices for scalable data modeling in Snowflake
- Experience with streaming data platforms
- Ability to design and implement data pipelines in a cloud environment
- Experience building real-time dashboards (e.g., Tableau, Power BI, or Snowflake-native solutions).