Mastering Snowflake 2025

Build Scalable and Modern Data Warehousing Solutions with Snowflake

What you'll learn

Understand the Snowflake architecture, editions, and cloud-native features

Create and manage databases, schemas, tables, and virtual warehouses in Snowflake

Use SQL effectively within Snowflake (DDL, DML, DCL, TCL) for real-world scenarios

Set up and integrate Snowflake with AWS services like EC2 and S3

Perform data ingestion using Snowpipe, Streams, and Tasks

Work with Time Travel, Zero-Copy Cloning, and Fail-Safe features

Implement access control, user roles, and warehouse resource monitoring

Create internal and external stages to manage structured data

Automate ELT data pipelines and transformation layers (Raw → Staging → Curated)

Build a complete end-to-end project using Snowflake's best practices and architecture

Requirements

Basic knowledge of SQL (SELECT, INSERT, JOIN, etc.) is helpful but not mandatory

Familiarity with cloud platforms like AWS is a plus (not mandatory — everything is explained from scratch)

A computer with internet access (Windows, macOS, or Linux)

No prior Snowflake experience required — this course starts from the fundamentals

Willingness to learn and practice through hands-on labs and real-time projects

Description

Are you ready to become a Cloud Data Warehousing Expert and take your career to the next level?Welcome to Mastering Snowflake — the most comprehensive, hands-on course designed to teach you everything about Snowflake, the leading cloud-based data platform trusted by Fortune 500 companies worldwide.In this course, you will learn how to design, build, and optimize modern data solutions using Snowflake’s powerful architecture. Whether you're a data engineer, analyst, developer, or aspiring cloud architect, this course will equip you with real-time knowledge and practical skills to work on enterprise-level data projects.By the end of this course, you’ll master:Snowflake fundamentals including databases, schemas, virtual warehouses, and user rolesSQL for Snowflake — DDL, DML, DCL, TCL with real-time querying scenariosIntegration of Snowflake with AWS using EC2, S3, and IAMCore features like Time Travel, Zero-Copy Cloning, Streams, Tasks, and SnowpipeBuilding and managing a complete ELT pipeline from raw to curated data zonesYou’ll also work on real-world projects to gain hands-on experience that mirrors what top tech companies expect from their Snowflake engineers.This course is perfect for:IT professionals transitioning into data engineering or analyticsBeginners wanting to break into cloud-based data platformsExperienced engineers looking to level up with SnowflakeAll lessons are explained in a simple, structured, and easy-to-understand format — with live demonstrations, best practices, and downloadable resources.Join now and become a certified Snowflake expert who’s ready to solve today’s most critical data problems using cloud-native solutions.

Overview

Section 1: Snowflake Fundamentals

Lecture 1 Mastering Snowflake Syllabus

Lecture 2 Mastering Snowflake Introduction, What is Snowflake, Snowflake Cloud Architecure

Lecture 3 What is Data Warehouse and What is Snowflake Modren Data Warehouse

Lecture 4 Snowflake Data Warehouse Architecture

Lecture 5 Snowflake Architecture

Lecture 6 How to Create Free Snowflake Account, How to Sign In Snowflake, Overview of S

Lecture 7 How to Connect Snowflake

Lecture 8 SnowSQL Installation and Configuration on Windows, SnowSQL and Snowflake Conn

Lecture 9 Create Connection Between DBeaver with Snowflake

Lecture 10 What are Virtual Warehouses in Snowflake

Lecture 11 How to Create Virtual Warehouse in Snowflake and Start and Stop and Resume

Lecture 12 Snowflake Virtual Warehouse Pricing

Lecture 13 Snowflake Stoage Pricing

Section 2: SQL for Snowflake

Lecture 14 SQL for Snowflake Syllabus

Lecture 15 What is SQL

Lecture 16 DDL for Snowflake, Data Definition Language Commands in Snowflake

Lecture 17 DML for Snowflake, Data Manipulation Language Commands in Snowflake

Lecture 18 DRL for Snowflake, Data Retrieval Language Commands in Snowflake

Lecture 19 SQL Utility Commands with Examples in Snowflake

Lecture 20 DCL for Snowflake, Data Control Language Commands in Snowflake

Lecture 21 Select with different filter conditions with different examples in Snowflake

Aspiring Data Engineers, Data Analysts, and BI Developers who want to master Snowflake,Software Engineers or ETL Developers transitioning into cloud data roles,Beginners with basic SQL knowledge who want to break into the world of cloud data warehousing,IT professionals and system architects looking to implement Snowflake in real-world projects,Anyone preparing for Snowflake interviews, certifications, or hands-on project roles,Students or professionals seeking practical, job-ready skills in cloud data platforms