Data Orchestration Overview

🎼 Data Orchestration & Pipelines

Orchestration is the “Glue” of data engineering. It ensures that tasks run in the right order, at the right time, and handle failures gracefully.

---

🔍 Section Overview

Move from manual scripts to automated, self-healing data pipelines.

1. Apache Airflow Deep Dive

Master Airflow. Learn about DAGs (Directed Acyclic Graphs), Operators, Hooks, and the Scheduler.

2. Data CI/CD (DataOps)

Learn how to apply DevOps principles to data. Master Data Versioning, Automated Testing, and Deployment Pipelines.

---

🎯 Key Learning Goals

• Design complex, multi-step workflows using Airflow.
• Implement retry logic and SLA monitoring for critical pipelines.
• Build a CI/CD pipeline for your data transformation code.