Snowflake & Dbt Mastery Bootcamp: The Complete Guide
Published 7/2026
Created by manish tiwari
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 182 Lectures ( 24h 20m ) | Size: 14.6 GB
Master Snowflake & dbt Core with SQL, Snowpipe, ELT, AWS Integration, Security & Real-World Projects
What you'll learn
Understand Snowflake architecture and how cloud data warehousing works Set up a Snowflake account and confidently navigate the Snowsight UI. Create and manage databases, schemas, tables, and virtual warehouses. Master SQL in Snowflake, including DDL, DML, joins, and data manipulation commands. Load data into Snowflake using internal stages, user stages, table stages, and external stages. Install and use SnowSQL to automate data loading and Snowflake administration. Configure and implement Snowpipe for continuous, automated data ingestion from Amazon S3. Integrate Snowflake with AWS services using IAM roles, S3, and external stages. Work with advanced Snowflake features such as Time Travel, Zero-Copy Cloning, Streams, Views, and Caching. mplement role-based access control (RBAC), grants, and data masking to secure Snowflake environments. Gain the practical Snowflake skills required for Data Engineer, Data Analyst, Cloud Data Engineer, and Snowflake Developer roles.Requirements
Basic understanding of computers and the internet No prior experience is required - everything will be explained from scratch A computer with internet connection to access Snowflake , AWS services and practice the labsDescription
Snowflake & dbt Mastery Bootcamp: The Complete Guide
MasterSnowflake anddbt Core from beginner to advanced through hands-on labs, real-world projects, and production-ready ELT pipelines. Learn SQL, Snowpipe, COPY INTO, Incremental Models, Snapshots, Jinja, Macros, AWS Integration, Security, and modern Data Engineering best practices.
Become a confidentData Engineer by mastering Snowflake and dbt through practical, hands-on learning and real-world projects. This comprehensive bootcamp takes you from the fundamentals to advanced concepts, equipping you with the skills needed to design modern cloud data warehouses, build scalable ELT pipelines, and develop production-ready data transformation workflows.
Whether you're a beginner starting your Data Engineering journey or an experienced professional looking to upskill, this course provides a structured learning path with enterprise best practices, practical demonstrations, and real-world use cases.
Unlike courses that focus only on Snowflake or only on dbt, this bootcamp teaches how both technologies work together to build scalable, maintainable, automated, and production-ready cloud data platforms used by modern organizations.
Throughout this course, you'll learn how to design Snowflake environments, write efficient SQL, load and transform data, build modular dbt Core projects, implement testing and documentation, automate workflows, apply modern Data Modeling techniques, secure enterprise data, and integrate Snowflake with AWS.
What You'll Learn
Snowflake
Snowflake Architecture and Cloud Data Warehouse Concepts Creating and Managing Snowflake Accounts Snowsight User Interface Virtual Warehouses, Compute Scaling, and Performance Optimization Databases, Schemas, Tables, and Views SQL Fundamentals and Advanced SQL Joins, Aggregations, Window Functions, and SQL Best Practices Data Loading using COPY INTO Incremental Data Loading Strategies File Formats and Data Loading Patterns Internal, User, Table, Named, and External Stages SnowSQL Installation and Practical Usage AWS S3 Integration with Snowflake IAM Role Configuration Snowpipe for Continuous Data Ingestion Snowpipe Monitoring Streams and Tasks for Data Automation Time Travel Zero-Copy Cloning Query Performance Optimization Result Cache and Warehouse Cache Role-Based Access Control (RBAC) Dynamic Data Masking Snowflake Security and Governance Best Practicesdbt Core (Data Build Tool)
Installing and Configuring dbt Core dbt Project Structure Models and Materializations ref() Function source() Function Tags and Model Configuration Variables and Environment Management Sources and Source Freshness Seeds Incremental Models Snapshots for Historical Data Tracking Generic Tests Custom Tests Documentation Generation Macros Jinja Templating Hooks dbt Packages Building Modular and Reusable Data Transformation Pipelines Analytics Engineering Best PracticesReal-World Hands-on Projects
Throughout the course, you'll work on practical projects that simulate real enterprise Data Engineering scenarios.
You'll build
End-to-End Snowflake Data Warehouse Project AWS S3 to Snowflake Data Loading Project Snowpipe Continuous Data Ingestion Project Incremental ELT Pipeline using dbt Core SCD Type 1 Data Warehouse Project Production-Ready Data Transformation Pipeline Automated Data Validation using dbt Tests dbt Documentation and Metadata GenerationWhy Take This Course?
Comprehensive Snowflake & dbt Bootcamp in a single course Beginner-friendly with step-by-step explanations 100% Hands-on Practical Demonstrations Real-World Data Engineering Projects Production-Ready ELT Development Modern Data Warehouse Best Practices Enterprise-Level Use Cases Practical Exercises and Assignments Interview-Oriented Explanations Downloadable Resources Lifetime Access with Regular Course UpdatesWho Should Enroll?
Data Engineers Analytics Engineers SQL Developers ETL Developers BI Developers Data Analysts Cloud Engineers Azure Data Engineers AWS Data Engineers Software Engineers transitioning to Data Engineering Students preparing for Snowflake, dbt Core, Analytics Engineer, and Data Engineer interviews Anyone interested in Modern Data EngineeringWho this course is for
Beginners who want to learn Snowflake from scratch with hands-on practical examples. Data Engineers looking to build or strengthen their Snowflake skills for real-world projects. Data Analysts who want to query, analyze, and manage data using Snowflake. ETL Developers migrating from traditional data warehouses to Snowflake. Cloud Engineers working with AWS, Azure, or Google Cloud data platforms. Students preparing for Snowflake interviews and technical assessments. Anyone interested in learning enterprise-level data loading, SnowSQL, Snowpipe, security, and automation in Snowflake.Please Login or Register to see this code