Azure Data Factory for A Beginner

Module 1: Build Your First Data Pipeline (2/10 Sections Completed)

• Introduction: Get your feet wet with Azure Data Factory and learn why data pipelines are crucial for modern businesses.
• Metadata-Driven Ingestion: Dive into the power of metadata to manage your data flows. You’ll create a metadata database, integrate with Active Directory, and build pipelines that automatically handle data ingestion.
• Event-Driven Ingestion: Discover the magic of event triggers! You’ll learn how to design pipelines that are automatically activated by events like new files being uploaded to Azure Storage.

Coming Soon…

• Module 2: Transforming Data with Azure Data Factory
  • Discover how to clean, shape, and enrich your data using Azure Data Factory transformations.
• Module 3: Data Quality and Monitoring
  • Learn how to ensure data integrity, build data quality checks, and set up monitoring for your data pipelines.
• Module 4: Advanced Data Integration Techniques
  • Explore more advanced features of Azure Data Factory, including using data flows for complex transformations and managing data pipelines at scale.
• Module 5: Real-World Case Studies
  • Get inspired by real-world examples of how businesses are using Azure Data Factory to solve complex data integration challenges.

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

• Build and deploy data pipelines using Azure Data Factory
• Automate data ingestion from various sources
• Utilize metadata to manage and control your data flows
• Implement event-based triggers for dynamic data pipeline execution
• Design data pipelines for data transformation, quality, and monitoring

Join me on this journey to become a data integration expert!

Closing Remarks | Azure Data Factory for Beginners – Build Data Ingestion [Video] (packtpub.com)