Azure Synapse Pipelines Tutorial | Build & Manage Data Workflows in Synapse Analytics
Welcome to this in-depth tutorial on Synapse Pipelines, a powerful data integration feature in Azure Synapse Analytics. In this lecture, you’ll learn how to build, manage, and automate ETL/ELT data workflows using Synapse Pipelines. Whether you're a data engineer, developer, or cloud enthusiast, this session will guide you step-by-step through creating pipelines, using data flows, managing triggers, monitoring runs, and connecting to various data sources.
By the end of the session, you will have hands-on knowledge to design scalable data orchestration solutions within Synapse Studio, without writing complex code.
💡 What You’ll Learn:
What are Synapse Pipelines?
Key components (Activities, Datasets, Linked Services)
How to create your first pipeline
Using triggers for automation
Integrating with Data Flows
Monitoring pipeline runs
Best practices for pipeline management
📈 Who Should Watch:
Aspiring Data Engineers
Azure Synapse beginners
Professionals preparing for Azure Data Engineer certifications (DP-203)
Anyone interested in cloud-based data integration
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Chapters:
00:00 ⏩ Intro
00:30 ⏩ Create a New Pipeline
04:12 ⏩ Define Pipeline Activities