Snowflake DBT Course Online

SKU: 1109
22 Lesson
|
32 Hours
igmGuru offers the best Snowflake DBT course online worldwide. This comprehensive data engineering training program covers key topics such as Snowflake architecture, SQL fundamentals, real-time data loading, DBT models and snapshots, ADF pipeline integration, and more. These Snowflake and DBT course modules are designed by industry experts with over 12 years of experience in real-time Snowflake projects and cloud data integration. Enroll in the Snowflake DBT training today to master end-to-end Snowflake development and prepare for real-world data engineering roles.

Overview

Prerequisites:

  • Basic understanding of SQL
  • Familiarity with data warehousing concepts
  • Awareness of cloud computing fundamentals
  • No prior experience with Snowflake, DBT, or ADF required

What You Will Learn:

  1. Real-time Snowflake tasks based on business requirements
  2. Hands-on practice with Snowflake, DBT, ADF, and AWS
  3. End-to-end Snowflake development with real-time project implementation
  4. SQL basics and advanced concepts (joins, constraints, functions, etc.)
  5. Snowflake architecture, roles, virtual warehouses, and database objects
  6. Data loading/unloading (on-premise and cloud sources)
  7. Snowpipe and continuous data loading
  8. Handling semi-structured data (JSON, XML)
  9. Time Travel, Fail Safe, and Zero Copy Cloning
  10. Streams, Tasks, and Change Data Capture (CDC)
  11. Data sharing, secure views, and reader accounts
  12. UDFs, procedures, performance tuning, and masking policies
  13. Working with dates and timestamps
  14. DBT features: models, seeds, snapshots, materializations, macros, Git integration
  15. ADF pipeline creation and Snowflake integration
  16. Resume building and interview preparation with Q&A

Key Features

Course Curriculum

1. Basics of RDMBS
2. DDL, DML, DQL and TCL Commands
3. Operators in Oracle (And, OR, Not, IN, LIKE, Between)
4. Null, Not Null
5. Order By in Oracle
6. Group By, Group functions and Having Clause
7. Constraints (Not Null, Unique, Primary key, Foreign Key and Check)
8. Joins (Inner join, Left outer, right outer, Full outer joins, Self-join and Cross join)
9. Set Operators (Union, Union All, Intersect, Minus)
10. Rank and Dense Rank functions
11. Views and indexes
1. Key Concepts & Architecture
2. Cloud Platforms
3. Snowflake Editions
4. Overview of Key Features
1. Overview of the Ecosystem
2. Snowflake Partner Connect
3. SnowSQL (CLI Client) - Installation, Configuring and Usage
4. Lab – Snowsql Lab & Exercises
1. Creation of Roles
2. Creation of Users
3. Explanation of Roles and Users Management
1. Creation of Virtual Warehouses
2. Resource Monitors Management and Alerts
3. Explanation of Virtual Warehouses Privileges
1. Creation of Databases and Schema
2. Explanation of Databases and Schema Privileges
3. Creation Types of Tables
4. Explanation of Table Privileges
5. Explanation of Snowflake Cache Layer
1. Time Travel
2. Time Travel considerations
3. Fail Safe - Recovery
4. Lab – Time Travel and Fail-Safe Lab & Exercises
1. Explanation of zero copy cloning using different object
2. What can be cloned and what cannot
1. Internal Stages
2. External Stage
1. Overview of Data Loading/Unloading
2. Bulk Data Loading/Unloading from a Local File System
3. Loading Using the Web Interface (Limited)
4. Querying Data in Staged Files
5. Troubleshooting Bulk Data Loads
6. Lab – Data Loading / Unloading Lab & Exercises
1. AWS Integration Process
2. AWS to Snowflake Data Loading
1. Continuous Data Loading using Snowpipe
2. Snowpipe Configuration
1. Loading Semi-Structure data from on-premises to cloud
2. JSON and XML
1. Streams and Tasks
2. Types of SCD’s
3. Email Notification creation
4. Lab – Streams & Tasks Lab & Exercises
1. Introduction to Data Sharing, Data Providers, Data Consumers, Working with Shares
2. Using Secure Objects to Control Data Access, Configuring a Reader Account, Managing Reader Accounts, Lab – Data Sharing Exercises
1. Analytical Functions, User Defined Functions, Procedures
1. Query Tuning, Clustering, Micro Partitions, Materialized Views, Performance Considerations
1. Column level Masking Policies, Row level Masking Policies
1. Dates and time Stamps, Date and Time Stamp conversions
1. DBT Overview, Models, Materialization, Source and Seed, Snapshot, Macros, Exposures, Git integration
1. Creation of Azure Blob storage
2. ADF Pipeline configuration and set up
3. Data Load from Azure Blob to Snowflake using ADF
1. Unix Basic Commands
2. Interview Questions
3. Resume Building
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Course Fees

SELF PACED LEARNING

US $ 299.00
Refund Policy
  • Duration : 32 hrs
  • Lifetime Free Upgrade
  • Reference Documents
  • 24x7 Support & Access

Online Class Room Program

US $ 699.00
100% Money Back Guarantee
  • Duration : 32 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 07 Jul 2026
  • Weekday Batch 13 Jul 2026
  • Weekend Batch 11 Jul 2026

Corporate Training

Corporate Training
  • Customized Training Delivery Model
  • Flexible Training Schedule Options
  • Industry Experienced Trainers
  • 24x7 Support

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Snowflake DBT Certification

Upon successful completion of the Snowflake DBT course and final project, learners will receive a Snowflake DBT Course Completion Certificate from igmGuru, validating your knowledge and practical skills in Snowflake data warehousing, DBT development, and cloud data integration.

Snowflake DBT Certification

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