Design Patterns for Efficient Data Pipelines

Design patterns are an effective way to build scalable and efficient data pipelines in Azure Data Factory (ADF). A design pattern is a reusable solution that can be applied to common problems in data pipeline development. Here, we’ll discuss some of the design patterns that can be used in ADF for efficient data pipeline development.

Note: Microsoft's official documentation provides a detailed look into design patterns possible for implementation in Azure Data Factory (ADF).

Design patterns

Design patterns in Azure Data Factory (ADF) refer to best practices or reusable solutions for solving specific problems commonly encountered in data integration workflows. These patterns can help developers design and build ADF pipelines that are scalable, efficient, maintainable, and cost-effective.