Snowflake

Breadcrumb Abstract Shape
Breadcrumb Abstract Shape

Snowflake

About Course

Learn Snowflake from the fundamentals to advanced concepts of modern cloud data warehousing and analytics. This course covers Snowflake architecture, databases, schemas, tables, SQL, data loading, stages, file formats, virtual warehouses, views, security, and data management. You’ll understand how Snowflake’s cloud-native architecture enables organizations to store, process, and analyze large volumes of data efficiently.

Duration: 35-40 Hours

Category: Coding/Development

Skill Level: Beginner – Intermediate

Modules:     24

Subjects & Expertise

With expertise in Snowflake and cloud data warehousing, the training focuses on modern data architecture, SQL-based analytics, data ingestion, transformation, security, and performance optimization. Learners gain practical knowledge of how Snowflake is used to build scalable and reliable data platforms for enterprise analytics.

The course combines instructor-led sessions with hands-on labs, real-world datasets, practical assignments, and project-based learning. Students learn to work with Snowflake databases and schemas, virtual warehouses, stages, data loading, transformations, access control, and analytical workloads.

Modules

1. Introduction to Snowflake

  • Cloud Data Warehouse Concepts
  • Snowflake Architecture
  • Snowflake Editions
  • Key Features
  • Snowflake Ecosystem

2. Snowflake Environment Setup

  • Accounts
  • Organizations
  • Worksheets
  • UI Overview
  • CLI Basics

3. Databases and Schemas

  • Databases
  • Schemas
  • Objects
  • Naming Standards

4. Virtual Warehouses

  • Warehouse Concepts
  • Warehouse Sizing
  • Auto Suspend
  • Auto Resume
  • Multi Cluster Warehouses

5. Snowflake SQL Fundamentals

  • SELECT
  • Filtering
  • Joins
  • Subqueries
  • CTEs

6. Data Loading

  • Stages
  • Internal Stages
  • External Stages
  • PUT Command
  • COPY INTO

7. Working with File Formats

  • CSV
  • JSON
  • Parquet
  • Avro
  • XML

8. Data Unloading

  • COPY INTO Location
  • Exporting Data
  • Cloud Storage Integration

9. Snowflake Security

  • Users
  • Roles
  • Privileges
  • RBAC
  • Least Privilege Model

10. Access Management

  • System Roles
  • Custom Roles
  • Role Hierarchies
  • Object Grants

11. Performance Optimization

  • Query Profile
  • Warehouse Tuning
  • Caching
  • Clustering

12. Time Travel and Fail-safe

  • Time Travel
  • Data Recovery
  • Retention Periods
  • Fail-safe

13. Streams and Tasks

  • Streams
  • Change Data Capture
  • Tasks
  • Task Scheduling

14. Stored Procedures

  • SQL Procedures
  • JavaScript Procedures
  • Procedure Parameters

15. User Defined Functions

  • Scalar UDFs
  • SQL UDFs
  • JavaScript UDFs

16. Semi Structured Data

  • VARIANT
  • OBJECT
  • ARRAY
  • FLATTEN Function
  • JSON Processing

17. Snowpark Fundamentals

  • Snowpark Architecture
  • DataFrames
  • Python Snowpark
  • Business Logic Development

18. Data Sharing

  • Secure Data Sharing
  • Reader Accounts
  • Marketplace Concepts

19. Snowpipe and Ingestion

  • Snowpipe
  • Auto Ingest
  • Near Real-Time Loading

20. Data Engineering Concepts

  • ETL
  • ELT
  • Data Pipelines
  • Orchestration Concepts

21. Monitoring and Cost Optimization

  • Resource Monitors
  • Warehouse Monitoring
  • Cost Control
  • Usage Views

22. Industry Real-Time Scenarios

  • Data Migration
  • Data Warehouse Modernization
  • Incremental Loading
  • Audit Reporting

23. Snowflake Interview Questions

  • Architecture Questions
  • SQL Questions
  • Performance Questions
  • Scenario-Based Questions

24. Capstone Project

  • End-to-End Data Pipeline
  • Data Loading
  • Transformations
  • Reporting Layer