Snowflake Data Engineering - Self Paced Training - The Complete Guide Jun 2026 Edition

Comprehensive Training: From Scratch to Advanced Levels

Pre-requisite learning: SQL and Python (Included in the course)

Snowflake Daywise content: 

✅ 01. Introduction to Snowflake

✅ 02. Snowflake Trial Account and Snowsight

✅ 03. Medallion-architecture Snowflake Editions and Pricing Models

✅ 04. Load data from local file to Snowflake

✅ 05. Types of stages, Command Line Interface, User Stage

✅ 06. Table Stage

✅ 07. Named Stage and data Unloading

✅ 08. Validation Errors

✅ 09. Snowflake Table Types

✅ 10. Retention, Time Travel and Failsafe

✅ 11. Zero Copy Cloning

✅ 12.Tasks and Task Tree in Snowflake

✅ 13. Change Data Capture and Streams

✅ 14. Snowflake Data Types and Constraints

✅ 15. SELECT Statements

✅ 16. Clustering Micro Partitioning and Pruning

✅ 17. DataMasking Roles Users

✅ 18. Performance Tuning

✅19. AWS Free Tier account and working with CSV

✅ 20. Working with AWS JSON PARQUET file

✅ 21. How to create Snowpipe

✅ 22. Working with Snowflake and Azure

✅ 23. Working with Snowflake and GCP

✅ 24. SCD_Implementation

✅ 25. Views Materialized View

✅ 26. Stored procedure and UDF

✅ 27. Python and Notebook

✅ 28. Data Sampling

✅ 29. Data Sharing

✅ 30. Snowflake - Data AI Cloud

Day-wise exercices are added for each topics. 

Resume Preparation
Interview questions and answers
Project level sessions

For more details, Please check day-wise video topics

This course does not include Snowflake CORTEX AI