Azure Data Flow
5 posts
- Azure Data Flow Conditional FlattenTechniques for unrolling and flattening complex nested arrays and JSON structures conditionally in Azure Data Factory.Post
- Azure Data Flow Conditional SplitRouting data rows to different stream destinations based on specific business rule conditions in Azure Data Flow.Post
- Azure Data Flow Derived ColumnsCreating new columns, modifying schema types, and applying expressions using derived column transformations.Post
- Configuring Azure Data Flow Error HandlingRobust design patterns for handling bad data rows, logging failed records, and ensuring pipeline resilience.Post
- Handling Duplicate Data in Azure Data FlowsEliminating duplicate rows and retaining latest records using Aggregate and Window transformations in Data Flow.Post
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