Data Factory Increases Maximum Activities Per Pipeline to 80
This week we have doubled the limit on number of activities you may define in a pipeline, from 40 to 80. With more freedom to develop, we want to empower you to create more powerful, versatile, and resilient data pipelines for all your business needs. We are excited to see what you come up with, harnessing the power of 40 more activities per pipeline!Pipeline Logic 3: Error Handling and Try Catch
In this series on Orchestration, we will dive deep to understand conditional executions in ADF, and build complex logic such as how to execute a shared error handling step of any failures in the pipeline, how to add informative logging with best effort attempt, and how to ensure all dependencies succeed before proceeding to next steps.Pipeline Logic 1: Error Handling and Best Effort Step
In this series on Orchestration, we will dive deep to better understand conditional executions in ADF, and build complex logic such as: how to execute a shared error handling step of any failures in the pipeline, how to add informative logging with best effort attempt, and how to ensure all dependencies succeed before proceeding to next steps.Pipeline Logic 2: OR (at least 1 activity succeeded or failed)
In this series on Orchestration, we will dive deep to understand conditional executions in ADF, and build complex logic such as how to execute a shared error handling step of any failures in the pipeline, how to add informative logging with best effort attempt, and how to ensure all dependencies succeed before proceeding to next steps.
