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Wiki CatalogData EngineerModule 3: ETL/ELT Pipeline Engineering, Streaming & Orchestration

Workflow Orchestration & Dependency Graphs

Data Engineer⏱ 20 Hours Estimated~3 min read
Mapped Subtopics & Architecture
  • Graph-Based Execution (Apache Airflow DAGs, Tasks, Operators, Hooks)
  • Runtime Orchestration (TaskFlow API, Dynamic Task Mapping, XComs)
  • Modern Alternatives (Prefect, Dagster)

Workflow Orchestration & Dependency Graphs

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

Welcome to Workflow Orchestration & Dependency Graphs. This topic delivers foundational and advanced concepts designed for production engineering and real-world workflows.

Key Learning Objectives

  1. Graph-Based Execution (Apache Airflow DAGs, Tasks, Operators, Hooks)
  2. Runtime Orchestration (TaskFlow API, Dynamic Task Mapping, XComs)
  3. Modern Alternatives (Prefect, Dagster)

Detailed Curriculum Breakdown

Graph-Based Execution (Apache Airflow DAGs, Tasks, Operators, Hooks)

Explore the fundamental principles, real-world patterns, and best practices for Graph-Based Execution (Apache Airflow DAGs, Tasks, Operators, Hooks). Practice hands-on implementations to master these concepts.

// Code Example: Graph-Based Execution (Apache Airflow DAGs, Tasks, Operators, Hooks)
// Implement verified patterns for production use
console.log("Mastering Graph-Based Execution (Apache Airflow DAGs, Tasks, Operators, Hooks)");

Runtime Orchestration (TaskFlow API, Dynamic Task Mapping, XComs)

Explore the fundamental principles, real-world patterns, and best practices for Runtime Orchestration (TaskFlow API, Dynamic Task Mapping, XComs). Practice hands-on implementations to master these concepts.

// Code Example: Runtime Orchestration (TaskFlow API, Dynamic Task Mapping, XComs)
// Implement verified patterns for production use
console.log("Mastering Runtime Orchestration (TaskFlow API, Dynamic Task Mapping, XComs)");

Modern Alternatives (Prefect, Dagster)

Explore the fundamental principles, real-world patterns, and best practices for Modern Alternatives (Prefect, Dagster). Practice hands-on implementations to master these concepts.

// Code Example: Modern Alternatives (Prefect, Dagster)
// Implement verified patterns for production use
console.log("Mastering Modern Alternatives (Prefect, Dagster)");

Practical Application & Exercises

  1. Architecture Review: Evaluate how Workflow Orchestration & Dependency Graphs 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 Workflow Orchestration & Dependency Graphs
  • Completed practical coding challenge
  • Validated edge cases and error handling routines