Mridul DixitMuleSoft DataWeave Part -3In this blog, I’d like to walk you through various transformations that can be performed in DataWeave like zip, unzip, flatten etcApr 8Apr 8
Mridul DixitMuleSoft DataWeave — Part 21. How to use Map function to iterate over items in an array and outputs the results into a new arrayApr 7Apr 7
Mridul DixitMuleSoft Dataweave — Part 1Dataweave is a programming language specifically designed by MuleSoft to access and transform data.Apr 7Apr 7
Mridul DixitPython BasicsTo check if you have python installed on a Windows PC, search in the start bar for Python or run the following on the Command Line…Mar 18Mar 18
Mridul DixitMuleSoft : All about JSON TO CSV conversionThis blog will help in understanding all the transformations related to csv file formatJun 23, 2023Jun 23, 2023
Mridul DixitMuleSoft DataWeave Part 6: Date and Time OperationsIn this blog, I’d like to walk you through various transformations that can be performed in DataWeave with regards to date and time.Jun 19, 2023Jun 19, 2023
Mridul DixitDataweave : Flatten and DistinctBy— How to Find Unique Names from InputIn this blog, I’d like to walk you through on implementation of “flatten” and “distinctBy” function in mule. By using these functions, we…Jun 11, 2023Jun 11, 2023
Mridul DixitDataweave : Pluck functionIn this blog, I’d like to walk you through on implementation of “pluck” function in mule. We will discuss on what, when and how to use…Jun 10, 2023Jun 10, 2023