Description

Introduction

This course explores how to build an efficient data pipeline using Matillion ETL, Snowflake as the data warehouse, and Power BI as the visualization tool. It demonstrates how to extract, transform, and load data into Snowflake using Matillion, and how to expose that data to Power BI for rich analytics and dashboards. The focus is on real-world integration practices and performance optimization.

Prerequisites

• Basic understanding of ETL processes

• Familiarity with Matillion ETL interface

• Experience with Snowflake SQL and Power BI

• Optional: knowledge of cloud platforms (AWS, Azure, or GCP)

Table of Contents

1. Overview of the Integration Architecture
    1.1 Role of Matillion, Snowflake, and Power BI
    1.2 End-to-End Data Flow
    1.3 Best Practices in Data Integration

2. Connecting Matillion to Snowflake
    2.1 Creating the Snowflake Environment
    2.2 Configuring Matillion Snowflake Connection
    2.3 Managing Warehouses and Schemas

3. Designing ETL Pipelines in Matillion
    3.1 Extracting Data from Cloud and On-Prem Sources
    3.2 Transform Components and SQL Pushdown
    3.3 Loading Transformed Data into Snowflake

4. Data Modeling and Optimization in Snowflake
    4.1 Dimensional Modeling for BI
    4.2 Partitioning, Clustering, and Caching
    4.3 Monitoring Query Performance

5. Connecting Power BI to Snowflake
    5.1 ODBC and Direct Query Setup
    5.2 Importing and Refreshing Data
    5.3 Handling Large Datasets Efficiently

6. Building Dashboards in Power BI
    6.1 Creating Visuals with Transformed Data
    6.2 Advanced Filters and Measures
    6.3 Scheduling Report Updates

7. Automating and Orchestrating Workflows
    7.1 Using Matillion Scheduler and API
    7.2 Triggering ETL Based on Business Events
    7.3 Automating Power BI Refreshes

8. Security and Access Control
    8.1 Managing Snowflake Roles and Permissions
    8.2 Securing Power BI Reports
    8.3 Row-Level Security and Auditing

9. Logging, Monitoring, and Troubleshooting
    9.1 Monitoring ETL Logs in Matillion
    9.2 Query Profiling in Snowflake
    9.3 Debugging Data Load and Sync Issues

10. Use Case Demo: From Source to Dashboard
    10.1 Sample Project Overview
    10.2 Step-by-Step Integration
    10.3 Final Dashboard Walkthrough

Integrating Matillion with Snowflake and Power BI streamlines the journey from raw data to actionable insights. With the right setup, cloud-based ETL, warehouse, and BI tools work seamlessly to deliver scalable, real-time reporting solutions that empower business users and analysts alike.