45-Day Snowflake + DBT + Matillion Bootcamp (1 Hour/Day)

Unlock the full spectrum of data engineering and analytics using Snowflake, DBT, and Matillion. Over 45 days, you’ll learn cloud warehousing fundamentals, build robust data pipelines, automate workflows, apply machine learning with Snowflake AI, and deliver two enterprise-grade analytics platforms through capstone projects.

Who Should Enroll?

• Aspiring data engineers and cloud analysts
• BI professionals expanding into modern data stacks
• AI engineers seeking Snowflake-centric workflows

Prerequisites

• Understanding of SQL and Python
• Familiarity with cloud storage (S3/GCS/Azure)
• Snowflake trial account and access to Matillion or DBT Cloud
• Code editor (VS Code recommended)

Course Format & Requirements

• Daily Instruction: 1 hour of guided content delivery
• Practice Time: 30–45 minutes of hands-on work per day
• Platforms Covered: Snowflake, Matillion, DBT, Power BI/Tableau

Learning Outcomes

By the end of this course, you will be able to:

• Build databases, schemas, and ingestion pipelines in Snowflake
• Perform performance tuning, error handling, automation, and staging
• Create modular DBT models with schema tests and documentation
• Build and schedule Matillion ETL workflows using Python/SQL components
• Leverage Snowflake’s AI capabilities including Cortex and Document AI
• Integrate Snowflake with Power BI/Tableau for business dashboards
• Design scalable data architectures for real-world analytics systems

Course Schedule

Detailed Daily Breakdown

Week 1: Snowflake Fundamentals

Day 1: Cloud Warehousing & Snowflake Architecture
Day 2: Snowflake Trial Account + Roles
Day 3: Databases, Schemas, Tables
Day 4: Data Types + Basic SQL
Day 5: Loading Data with UI + SnowSQL
Day 6: Virtual Warehouses
Day 7: Practice Recap – Create & Query Sample Dataset

Week 2: Data Loading & Views

Day 8: Staging – Internal vs External
Day 9: COPY INTO + UNLOAD
Day 10: File Formats – JSON + PARQUET
Day 11: Semi-Structured Data – FLATTEN
Day 12: Views, Temporary/Transient Tables
Day 13: Time Travel + Fail-Safe
Day 14: Mini Project – Load & Query Real-World Dataset

Week 3: Performance, Automation, Roles

Day 15: Query Caching + Optimization
Day 16: Cloning Schemas/Tables
Day 17: Streams & Tasks
Day 18: Stored Procedures + JavaScript UDFs
Day 19: Roles, Grants & RBAC
Day 20: Marketplace + Secure Sharing
Day 21: Build Mini Data Mart – Star Schema

Week 4: Python Integration + BI Tools

Day 22: Snowflake + Python (Snowpark / Connector)
Day 23: Power BI / Tableau Integration
Day 24: Query Monitoring & Account Usage
Day 25: Error Logging & Load Failures
Day 26: Snowflake Best Practices

Week 5: DBT Foundations

Day 27: DBT Basics – Install, Configure, First Model
Day 28: Writing Models, Tests, Documentation
Day 29: Advanced DBT – Seeds, Snapshots, Materializations
Day 30: DBT Scheduling – Cloud / Airflow

Week 6: Matillion ETL Pipelines

Day 31: Matillion Overview – Snowflake Connection
Day 32: Components – Join, Filter, Calculator
Day 33: Scheduling Jobs + Python/SQL Integrations
Day 34: DBT Integration with Matillion

Week 7: Snowflake AI & Machine Learning

Day 35: Introduction to AI & ML in Snowflake
Day 36: Cortex AI – Configuration + Model Deployment
Day 37: Document AI – Setup & Processing
Day 38: Advanced Topics – NLP, Computer Vision, Forecasting
Day 39: Integration with External ML Tools & Full Pipelines

Week 8: Capstone Projects

📦 Days 40–43: Capstone Project 1 – E-Commerce Analytics

• Simulated Sales Data from Cloud
• ETL with Matillion → DBT Star Schema
• Visualize in Power BI: Products, Regions, Revenue

💰 Days 44–45: Capstone Project 2 – Financial Forecasting System

• Portfolio + Transaction Data
• Transformations for Revenue, LTV, Risk Metrics
• BI Dashboard: Forecasts, Segmentations, YoY Trends

Tools & Technologies

• 🌐 Snowflake
• ⌨️ SnowSQL CLI
• 🐍 Python Connector & Snowpark
• 🧠 Cortex AI & Document AI
• ⚙️ DBT CLI + DBT Cloud
• 🧩 Matillion ETL
• 📊 Power BI / Tableau
• 💾 S3 / GCS (Cloud Storage)
• 📁 Git + VS Code

Ready to Get Started?

Enroll today and transform your front-end skill set with a month of focused, daily Angular learning.