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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...

Designing a Scalable Data Ingestion Strategy in Azure

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  Designing a Scalable Data Ingestion Strategy in Azure Table of Contents 1.      Introduction 2.      Understanding Scalable Data Ingestion 3.      Key Components of an Azure Ingestion Pipeline 4.      Approaches to Designing Scalable Ingestion 5.      Best Practices for Optimization 6.      Governance, Monitoring, and Security 7.      Common Architectural Patterns 8.      Preparing for Real-World Implementations 9.      Conclusion Introduction Designing a scalable data ingestion strategy in Azure is essential for organizations dealing with large, diverse, and continuously changing data sources. Whether you’re ingesting structured, semi-structured, or streaming data, Azure provides powerful services that help enterprises build reliable and cost-effective pipelines. Anyone planning...