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What are Integration Runtime Types in Azure Data Factory?

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What are Integration Runtime Types in Azure Data Factory? Introduction Integration Runtime ADF acts as the processing engine inside Azure Data Factory. This component controls data movement, transformation, and connectivity. Beginners often learn this topic first during Azure Data Engineer Online Training because every pipeline depends on this engine. By 2026, Microsoft improved scalability, monitoring, and security features. Modern data platforms now rely on Integration Runtime for cloud, hybrid, and legacy workloads. Table of Contents 1.      Key concepts of Integration Runtime ADF 2.      Types of Integration Runtime in ADF 3.      Key differences between Integration Runtime types 4.      Key examples and benefits for better understanding 5.      Latest updates and trends till 2026 6.      Step-by-step runtime selection guide 7.   ...
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How Do You Manage and Debug Failed Pipeline Runs in ADF?

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  How Do You Manage and Debug Failed Pipeline Runs in ADF? Introduction Managing failures is a daily task for data engineers working with Azure Data Factory. When pipelines fail, data stops flowing and reports break. That is why learning proper ADF pipeline debugging is critical. Many professionals begin this skill through Azure Data Engineer Training Online , where real failure scenarios are practiced. Table of Contents 1.      Key concepts of ADF pipeline debugging 2.      Common reasons for pipeline failures 3.      Step-by-step approach to manage failed runs 4.      Key differences between activity and pipeline failures 5.      Key examples and benefits for better understanding 6.      Latest updates and trends till 2026 7.      FAQs 1. Key Concepts of ADF Pipeline Debugging Azure Data Factory pipelines consist of a...
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