Implementing ADF Branches and Filters for Employee Training

In this post, you will find a case study of an organization that conducts analysis of employee performance based on their knowledge of different technologies and ratings from their managers. If an employee does not meet the required criteria for a particular technology, they receive training in that technology.

The input for this analysis includes the employee's ID, their knowledge of MSBI and PowerBI, and ratings given by their manager. In this tutorial, you'll explore how to implement ADF branches and filters to streamline the process of identifying employees who require training.

By following the steps laid out in the post, you'll learn how to use Azure Data Factory (ADF) to automate the process of identifying employees who require training and route them to the appropriate training program. By leveraging ADF branches and filters, you can ensure that only employees who meet specific criteria are directed to specific training programs.

Whether you're an HR professional or a Data Engineer, this tutorial provides you with a comprehensive guide to using Azure Data Factory to optimize employee training.

The post Implementing ADF Branches and Filters for Employee Training was published by Leading Software Company in Surat India.