Snowflake Data Engineering Essentials: Beginner to Intermediate

Course Content

Introduction to Data Warehousing and Snowflake
This topic builds the foundation required to understand Snowflake and modern data platforms. You will learn what a data warehouse is, how it differs from traditional databases, and why cloud-based solutions are preferred today. It also introduces Snowflake architecture and its real-world relevance.

What is Data Warehousing
Traditional vs Cloud Data Warehouse
Why Snowflake is Different
Snowflake Overview & Architecture
Snowflake Editions & Use Cases

Snowflake Setup & UI (Snowsight)
This topic focuses on getting started with Snowflake. You will learn how to create an account, navigate the Snowsight interface, and understand key components like worksheets, databases, and warehouses. By the end, you will be comfortable working inside the Snowflake environment.

Core Concepts in Snowflake
This topic covers the fundamental building blocks of Snowflake, including databases, schemas, tables, and virtual warehouses. You will also understand how Snowflake stores data internally using micro-partitions and how its architecture enables performance and scalability.

Data Types & Table Operations
In this topic, you will learn about Snowflake data types and how to design and create tables effectively. It also covers different table types (temporary, transient, permanent) and best practices for structuring data in real-world scenarios.

Data Loading in Snowflake
This topic explains how data is ingested into Snowflake. You will learn about staging concepts, file formats, and how to load data using the COPY INTO command. It also includes working with both structured and semi-structured data formats like CSV and JSON.

SQL in Snowflake
This topic focuses on querying and transforming data using SQL. You will learn everything from basic SELECT queries to joins, aggregations, subqueries, and window functions. By the end, you will be able to write efficient queries for analysis and reporting.

Semi-Structured Data
This topic introduces handling of semi-structured data in Snowflake. You will learn how to work with VARIANT, OBJECT, and ARRAY data types, and how to extract and transform nested JSON data using functions like FLATTEN.

Snowflake Warehouse Management
This topic covers Snowflake Warehouse Management in Snowflake. You will learn how to create, resize, and manage virtual warehouses, along with features like auto-scaling and auto-suspend. It also focuses on monitoring performance and optimizing cost while ensuring efficient query execution.

Time Travel & Data Recovery
This topic explains Snowflake’s powerful data recovery features. You will learn how Time Travel works, how to query historical data, and how to recover deleted or modified data. It also introduces the concept of Fail-safe.

Security & Access Control
This topic focuses on managing access and security in Snowflake. You will learn about users, roles, privileges, and role hierarchy. It also covers best practices for implementing secure and controlled data access.

Streams, Tasks & Automation
This topic introduces automation and incremental data processing in Snowflake. You will learn how Streams capture data changes and how Tasks help automate workflows. It provides a foundation for building real-time and scheduled data pipelines.

Secure Data Sharing in Snowflake
This topic introduces Secure Data Sharing in Snowflake, which allows sharing live data across accounts without copying it. You will learn how provider and consumer accounts interact, how to create shares, grant access, and query shared data. It also covers security features like read-only access and role-based control. The goal is to enable real-time, cost-efficient, and secure data collaboration.

Hands-On Project
This topic focuses on practical implementation. You will build an end-to-end data pipeline, apply transformations, and implement incremental loading. It helps you connect all concepts learned throughout the course into a real-world scenario.

Interview Preparation
This topic prepares you for Snowflake-related interviews. It includes commonly asked questions, scenario-based problems, and practical discussions that help you confidently explain concepts and solve real-world challenges.

Course Content

What is Data Warehousing

Traditional vs Cloud Data Warehouse

Why Snowflake is Different

Snowflake Overview & Architecture

Snowflake Editions & Use Cases

Creating a Snowflake Account

Snowflake Web Interface Overview (Snowsight)

Snowsight Basics (Detailed)

Worksheets, Databases, Warehouses, and Shares

User Profile and Account Settings

Core Concepts in Snowflake This topic covers the fundamental building blocks of Snowflake, including databases, schemas, tables, and virtual warehouses. You will also understand how Snowflake stores data internally using micro-partitions and how its architecture enables performance and scalability.

Databases, schemas, and tables

Virtual Warehouse

Micro-partitions

Fail-safe and Time Travel

Separation of storage and compute

Metadata and cloud services layer

Data Types & Table Operations In this topic, you will learn about Snowflake data types and how to design and create tables effectively. It also covers different table types (temporary, transient, permanent) and best practices for structuring data in real-world scenarios.

Snowflake data types

Standard table creation

Temporary, transient, and permanent tables

Cloning tables

Table constraints basics

Best practices for table design

Data Loading in Snowflake This topic explains how data is ingested into Snowflake. You will learn about staging concepts, file formats, and how to load data using the COPY INTO command. It also includes working with both structured and semi-structured data formats like CSV and JSON.

Overview of data loading methods

Internal and external stages

PUT and GET concepts

File formats

COPY INTO command

Loading CSV, JSON, and semi-structured data

Validating loaded data

SQL in Snowflake This topic focuses on querying and transforming data using SQL. You will learn everything from basic SELECT queries to joins, aggregations, subqueries, and window functions. By the end, you will be able to write efficient queries for analysis and reporting.

SELECT statements

Filtering with WHERE

Sorting with ORDER BY

DISTINCT, LIMIT, and aliases

Aggregate functions

GROUP BY and HAVING

Joins in Snowflake

Subqueries

Set operators

Semi-Structured Data This topic introduces handling of semi-structured data in Snowflake. You will learn how to work with VARIANT, OBJECT, and ARRAY data types, and how to extract and transform nested JSON data using functions like FLATTEN.

JSON, VARIANT, OBJECT, and ARRAY

Flattening data

Accessing nested fields

Parsing semi-structured files

Querying semi-structured data efficiently

Creating and managing warehouses

Scaling up and down

Auto-suspend and auto-resume

Warehouse sizing

Cost control techniques

Performance impact of warehouse choices

Time Travel & Data Recovery This topic explains Snowflake’s powerful data recovery features. You will learn how Time Travel works, how to query historical data, and how to recover deleted or modified data. It also introduces the concept of Fail-safe.

What is Time Travel

Querying historical data

Restoring dropped objects

Retention period

Fail-safe overview

Practical recovery scenarios

Security & Access Control This topic focuses on managing access and security in Snowflake. You will learn about users, roles, privileges, and role hierarchy. It also covers best practices for implementing secure and controlled data access.

Roles and privileges

Users, roles, and grants

Role hierarchy

Managing access to objects

Principle of least privilege

Basic security best practices

Streams, Tasks & Automation This topic introduces automation and incremental data processing in Snowflake. You will learn how Streams capture data changes and how Tasks help automate workflows. It provides a foundation for building real-time and scheduled data pipelines.

Creating and using views

Materialized view overview

Stored procedure basics

Tasks and automation

Scheduled processing use cases

Introduction to Streams and Tasks in Snowflake

Change Data Capture (CDC) and Streams in Snowflake

Creating and Using Streams in Snowflake

Understanding Stream Metadata in Snowflake

Introduction to Tasks in Snowflake

Core Concepts in Snowflake
This topic covers the fundamental building blocks of Snowflake, including databases, schemas, tables, and virtual warehouses. You will also understand how Snowflake stores data internally using micro-partitions and how its architecture enables performance and scalability.

Data Types & Table Operations
In this topic, you will learn about Snowflake data types and how to design and create tables effectively. It also covers different table types (temporary, transient, permanent) and best practices for structuring data in real-world scenarios.

Data Loading in Snowflake
This topic explains how data is ingested into Snowflake. You will learn about staging concepts, file formats, and how to load data using the COPY INTO command. It also includes working with both structured and semi-structured data formats like CSV and JSON.

SQL in Snowflake
This topic focuses on querying and transforming data using SQL. You will learn everything from basic SELECT queries to joins, aggregations, subqueries, and window functions. By the end, you will be able to write efficient queries for analysis and reporting.

Semi-Structured Data
This topic introduces handling of semi-structured data in Snowflake. You will learn how to work with VARIANT, OBJECT, and ARRAY data types, and how to extract and transform nested JSON data using functions like FLATTEN.

Time Travel & Data Recovery
This topic explains Snowflake’s powerful data recovery features. You will learn how Time Travel works, how to query historical data, and how to recover deleted or modified data. It also introduces the concept of Fail-safe.

Security & Access Control
This topic focuses on managing access and security in Snowflake. You will learn about users, roles, privileges, and role hierarchy. It also covers best practices for implementing secure and controlled data access.

Streams, Tasks & Automation
This topic introduces automation and incremental data processing in Snowflake. You will learn how Streams capture data changes and how Tasks help automate workflows. It provides a foundation for building real-time and scheduled data pipelines.

Hands-On Project
This topic focuses on practical implementation. You will build an end-to-end data pipeline, apply transformations, and implement incremental loading. It helps you connect all concepts learned throughout the course into a real-world scenario.

Interview Preparation
This topic prepares you for Snowflake-related interviews. It includes commonly asked questions, scenario-based problems, and practical discussions that help you confidently explain concepts and solve real-world challenges.