![]() Once you have the extension installed, you’ll want to configure it to integrate with your Dataiku Design Node instance. Simply search for “Dataiku” and then click “Install” on the Dataiku DSS extension result. ![]() The first step required to integrate Dataiku and Visual Studio Code is to install the Dataiku Extension in from the marketplace. With this integration, we can also edit DSS Plugins, SQL Recipes and R Recipes with VS Code. The Dataiku project demonstrated here has a single Python recipe that we’d like to connect to with Visual Studio Code and debug interactively. Let's walk through the configuration and setup of VS Code and a Dataiku DSS Design node as well as code modification and the execution of a debugging session. For technical users, Dataiku provides the power of Jupyter notebooks out of the box for Python code development - but for those requiring more flexibility, it’s also possible to integrate directly with the Visual Studio Code IDE and debug on your desktop. ![]() Dataiku has emerged as a market leader in Data Science orchestration and is the leader in including technical and non-technical roles in collaborative projects. In the Data Science universe there is a growing need for powerful, collaborative team tools. Essential Collaboration for Technical Users ![]()
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