Snowflake Real-Time Scenario: Automate Data Loads from S3 Dynamic Day-Wise Folders to Snowflake
Hey Everyone !
In this video, you'll learn how to implement a real-time data loading solution from AWS S3 to Snowflake, where the data is stored in day-wise folders. This is not just a common real-time scenario but a frequently asked interview question in Snowflake and Data Engineering roles.
I’ll walk you through the complete process using a Snowflake Stored Procedure to dynamically load data each day, making the solution automated and production-ready.
Whether you're preparing for a Snowflake interview, building an automated data pipeline, or working on real-time data ingestion projects, this video will help you understand the practical use case with step-by-step guidance.
🚀 What You'll Learn:
Real-time data ingestion from S3 to Snowflake
Navigating day-wise partitioned folders in S3
Writing and using Snowflake Stored Procedures for automation
Handling dynamic data loads based on current date
📌 Use Case: Loading data dynamically from daily S3 folders into Snowflake
📌 Tech Stack: Snowflake, AWS S3, SQL, Stored Procedures
📌 Level: Intermediate to Advanced (Real-time + Interview-Focused)
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#Snowflake #S3toSnowflake #DataEngineering #RealTimeDataPipeline #s3