Data Engineering Pipelines

Track Course
Advanced
Fully Ready

About the Course

This course provides a comprehensive overview of building and managing scalable data engineering pipelines using Azure Data Factory, with integration into Synapse Analytics and Azure DevOps. Learners will gain hands-on experience in pipeline orchestration, dynamic datasets, triggers, reusable templates, and data transformation workflows to support enterprise-level data solutions.

Learning Outcomes

By the end of this course, participants will be able to:

  • Build and manage scalable pipelines with Azure Data Factory.
  • Apply dynamic datasets, triggers, templates, and reusable design patterns.
  • Integrate ADF with Azure DevOps and Logic Apps for deployment and automation.
  • Orchestrate transformations in Synapse to deliver enterprise-ready solutions.

Curriculum

  • Chapter 1: Introduction to Data Engineering Pipelines

    Overview:

    In this chapter, you will explore the fundamentals of data engineering pipelines, their purpose, and their role in modern data platforms.

    Topics:

    • Pipeline concepts and architecture
    • Key pipeline stages: ingestion, transformation, orchestration
  • Chapter 2: Azure Data Factory Essentials

    Overview:

    In this chapter, you will learn the core components of Azure Data Factory and how to design basic pipelines.

    Topics:

    • Introduction to Azure Data Factory (architecture, pricing, interface)
    • Copy Activity for ingestion and transformation
    • Dynamic datasets and parent-child design patterns
    • Hands-on exercises and quizzes
  • Chapter 3: Advanced Azure Data Factory

    Overview:

    In this chapter, you will apply advanced ADF features and learn how to integrate ADF into enterprise data workflows.

    Topics:

    • Triggers and automation with Logic Apps
    • ARM templates for deployment
    • Advanced features: global parameters, reruns, Power Query, Data Flows
    • Integration with Azure DevOps for CI/CD pipelines
  • Chapter 4: Mini Project

    Overview:

    In this chapter, you will apply your knowledge to build and deploy a complete end-to-end data pipeline.

    Topics:

    • Designing a full data pipeline
    • Implementing dynamic datasets and triggers
    • Orchestration and workflow automation

Tools

Azure Data Factory (ADF)
Azure Synapse Analytics
Azure DevOps
Data Flows
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Common Questions

Find answers to your questions about the Learning Track
  • Standard Courses: Focused, short courses that build foundational or intermediate skills through hands-on exercises, enabling you to apply what you learn immediately.
  • Track Courses: Structured learning paths that guide you from beginner to advanced levels. They include practical projects that integrate multiple tools and workflows, aligned with industry best practices, helping you gain the skills and confidence to tackle real-world challenges.

No. Track Courses are only accessible through the Professional or Unlimited+ subscription plans.

  • Standard Plan gives you access to all Standard Courses.
  • Professional Plan gives you access to both Standard and Track Courses within your chosen domain.
  • Unlimited+ Plan provides full access to all courses — both Standard and Track — across all domains.

 

Yes, all courses are designed to be self-paced. Learn when it fits your schedule.

Each course includes prerequisites if needed. Many Standard Courses are beginner-friendly.

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