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Have you ever used DataWeave? In this three-part tutorial series, you will be guided through different DataWeave operators that you can use directly in your Anypoint Studio projects.

DataWeave was created to address the complexities associated with data transformations. DataWeave allows developers to execute data transformations in an expressive way, where data types are agnostic and require little code to solve the data transformation. Without DataWeave, you would have to write custom code for every data transformation and you would have to create special edge cases when you are dealing with different data formats such as converting CSV to JSON for example. If you have ever tried to transform data yourself with custom code, you know how challenging it can become especially when dealing with large datasets on production environments. Luckily, this is where the power of DataWeave comes into play and the language can help alleviate the challenges that developers face when dealing with data transformations.

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Walking through this three-part tutorial series will help you get started with the DataWeave language and show you how to create your first data transformations in your Anypoint Studio projects. These three guides were written by Joshua Erney, a MuleSoft Ambassador and DataWeave expert, so make sure to follow the links below to get started!

Read Part 1 Here

Read Part 2 Here

Read Part 3 Here