Master Azure Synapse Pipelines: Data Integration & Spark Notebooks Tutorial

Azure Synapse Analytics Pipelines Tutorial - Learn how to build automated data workflows that transform and move data without manual intervention!
🎯 What You'll Learn:
In this comprehensive tutorial, I'll show you everything you need to know about Azure Synapse Analytics Pipelines. Whether you're a data engineer, data analyst, or cloud professional, this step-by-step guide will teach you how to automate your data workflows from scratch.
⏱️ Timestamps:
0:00 - Introduction
0:45 - Understanding Pipelines (Activities, Linked Services & Datasets)
3:30 - Building Your First Pipeline in Azure Synapse Studio
6:00 - Data Flows Explained (Sources, Transformations & Sinks)
7:30 - Running and Monitoring Pipelines (Triggers & Debug Mode)
8:45 - Integrating Spark Notebooks into Pipelines
10:45 - Best Practices & Pro Tips
11:45 - Recap & Next Steps
📚 Topics Covered:
✅ What are Azure Synapse Pipelines and why they matter
✅ Pipeline components: Activities, Linked Services, and Datasets
✅ Building data pipelines step-by-step in Synapse Studio
✅ Creating Data Flows for visual data transformations
✅ Using Copy Data activities for data movement
✅ Setting up triggers (Manual, Scheduled & Event-based)
✅ Monitoring pipeline runs and troubleshooting errors
✅ Integrating Apache Spark notebooks for advanced processing
✅ Passing parameters between pipeline activities
✅ Real-world examples and use cases
✅ Best practices for production pipelines


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