Agenda:

1. Introduction to DataWeave
2. DataWeave Modules & Mappings
3. Development of DataWeave Library
4. Understanding the DataWeave Project Structure
5. Key Features of the DataWeave Library Extension
6. Packaging and Deployment of the DataWeave Library
7. Demo

In this session, we will delve into the DataWeave Extension Library, a powerful tool designed to enhance the DataWeave experience within Visual Studio Code. DataWeave is a domain-specific language (DSL) commonly used for data transformation, enabling conversion between various formats or structures in integration scenarios.

The agenda begins with an introduction to DataWeave, laying the foundation for our discussion. We will then explore DataWeave Modules & Mappings, which are essential concepts in building efficient data transformations.

Next, we will focus on the development of DataWeave libraries and how they can be utilized to modularize and organize data transformation logic effectively. Understanding the DataWeave Project Structure will be crucial for managing and maintaining our libraries.

Moving on to the main highlight, we will explore the key features of the DataWeave Library Extension for Visual Studio Code. This includes syntax highlighting, intelligent code autocompletion, error detection, and seamless integration with MuleSoft's Anypoint Studio or API Designer.

The Packaging and Deployment section will guide us on how to package our DataWeave library for distribution and deploy it to various environments, ensuring its accessibility and reusability.

Finally, we will conclude with a practical demonstration showcasing the power and efficiency of the DataWeave Extension Library in action. Through this demo, you will witness firsthand how the extension streamlines data transformation tasks, making them more efficient and error-free.

Join us for this informative session, and take your DataWeave skills to the next level with the DataWeave Extension Library for Visual Studio Code.