Overview
Orchestration in data engineering is about managing and automating data workflows. It helps in coordinating different tasks and processes to ensure data moves smoothly from one stage to another. By using orchestration tools, data engineers can schedule jobs, monitor their performance, and handle errors efficiently. This introduction will help you understand the basics and importance of orchestration in managing data pipelines.
📚 Key Learning Objectives
- ✓ Define orchestration and its role in data engineering.
- ✓ Identify key orchestration tools and their features.
- ✓ Explain the workflow of a data pipeline.
- ✓ Demonstrate how to schedule tasks using orchestration tools.
- ✓ Evaluate the performance of data workflows.
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