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Keep shoppingSnowflake for Beginners: Intro to Cloud Data Warehousing
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161 students
Snowflake for Beginners: Intro to Cloud Data Warehousing
Master Snowflake fundamentals – learn hands-on SQL and cloud data warehousing for data analysts, scientists & engineers
Created byMaven Analytics (2,000,000+ Learners), Alice Zhao
Last updated 8/2026
English
English [Auto],
What you'll learn
- Learn what Snowflake is, how it differs from traditional data warehouses, and where it fits into the modern data stack
- Understand Snowflake's 3-layer architecture – storage, compute, and services – and concepts like micro-partitioning and virtual warehouses
- Review basic SQL queries, and learn about Snowflake-specific SQL functions and how to work with JSON data in Snowflake
- Learn about Snowflake’s additional features, including time travel, data cloning, secure data sharing, query optimization, and Cortex AI
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Course content
6 sections • 61 lectures • 2h 56m total length
Requirements
- We strongly recommend taking our Analytics Engineering 101 and Data Modeling courses first
- Basic familiarity with SQL is helpful but not required
Description
This course is designed to get you up and running with Snowflake, one of the most popular cloud data warehouses used by modern data teams today.
We'll kick things off with a Snowflake overview — what it is, how it differs from traditional on-premise databases, and how it fits into the modern data stack alongside tools like dbt, Fivetran, and Airflow. You'll also write your very first SQL query in Snowflake early on, so you get hands-on practice right away.
From there, we'll dig into Snowflake's architecture. You'll learn how it's built across three layers — storage, compute, and services — and cover key concepts like micro-partitioning and virtual warehouses that explain why Snowflake is able to run so efficiently at scale.
Next, we'll get into SQL in Snowflake. We'll walk through how to set the context, create a virtual warehouse, upload data, and navigate the UI. We'll also cover Snowflake-specific functions like MAX_BY and QUALIFY, and how to work with semi-structured JSON data using the VARIANT type.
To round things out, we'll cover some of Snowflake's most useful features — Time Travel, Zero-Copy Cloning, Secure Data Sharing, and query optimization using the built-in query profile. We'll finish with an intro to Cortex AI and Cortex Code, Snowflake's built-in tools for running AI models and working with a GenAI assistant directly in the UI.
Whether you're a data analyst adding Snowflake to your toolkit or coming from a SQL background and exploring cloud data warehousing for the first time, this is the course for you.
COURSE OUTLINE:
Snowflake Overview
Introduce Snowflake as a cloud-agnostic data warehouse, learn where it fits in the modern data stack, and write your first SQL query
Snowflake Architecture
Learn about Snowflake’s 3-layer architecture – storage, compute, and services – and concepts like micro-partitioning and virtual warehouses
SQL in Snowflake
Review basic SQL queries, and learn about Snowflake-specific SQL functions and how to work with JSON data in Snowflake
More Snowflake Features
Learn about Snowflake’s additional features, including time travel, data cloning, secure data sharing, query optimization, and Cortex AI
Who this course is for:
- Aspiring analytics engineers looking to transition or break into the field
- Data professionals who want a better understanding of modern data warehousing
- Anyone who wants to get hands-on practice using Snowflake