Modern Data Stack Transformation (T-in-ELT)

Discipline: Data Engineer | Module: Module 3: ETL/ELT Pipeline Engineering, Streaming & Orchestration | Estimated Study Time: 20 Hours

Welcome to Modern Data Stack Transformation (T-in-ELT). This topic delivers foundational and advanced concepts designed for production engineering and real-world workflows.

Key Learning Objectives

1. SQL-First Transformations (dbt - Data Build Tool, Models, Materializations)
2. Development Lifecycle (dbt Tests, Documentation Generation, Ephemeral Models)

Detailed Curriculum Breakdown

SQL-First Transformations (dbt - Data Build Tool, Models, Materializations)

Explore the fundamental principles, real-world patterns, and best practices for SQL-First Transformations (dbt - Data Build Tool, Models, Materializations). Practice hands-on implementations to master these concepts.

// Code Example: SQL-First Transformations (dbt - Data Build Tool, Models, Materializations)
// Implement verified patterns for production use
console.log("Mastering SQL-First Transformations (dbt - Data Build Tool, Models, Materializations)");

Development Lifecycle (dbt Tests, Documentation Generation, Ephemeral Models)

Explore the fundamental principles, real-world patterns, and best practices for Development Lifecycle (dbt Tests, Documentation Generation, Ephemeral Models). Practice hands-on implementations to master these concepts.

// Code Example: Development Lifecycle (dbt Tests, Documentation Generation, Ephemeral Models)
// Implement verified patterns for production use
console.log("Mastering Development Lifecycle (dbt Tests, Documentation Generation, Ephemeral Models)");

Practical Application & Exercises

1. Architecture Review: Evaluate how Modern Data Stack Transformation (T-in-ELT) integrates with upstream and downstream systems.
2. Implementation Challenge: Build a functional prototype demonstrating each of the subtopics.
3. Validation & Testing: Verify performance and error handling under edge-case scenarios.

Summary Checklist

• Studied foundational architecture for Modern Data Stack Transformation (T-in-ELT)
• Completed practical coding challenge
• Validated edge cases and error handling routines