Learn Dataiku

Learn the core Dataiku concepts, including datasets, the Lab, the Flow, recipes, and collaboration.

Learn how Dataiku connects to your existing infrastructure; including fetching data from remote sources, accessing cloud storage -and data through plugins.

Learn how to prepare data with Dataiku visual recipes and through use cases.

Learn how Dataiku makes it easy to build machine learning models, deploy them to a production environment, and score new records.

Learn how to create charts, dashboards, and webapps in Dataiku.

With Dataiku you can do all the operations and analytics you're used to in Excel, while making the most of its big data capabilities! Learn how with our quick start tutorial.

Dataiku has features for monitoring and scheduling, an automation node for deployment to production and real time scoring. Learn more in this article.

Dataiku lets you access and process data using the coding language of your choice, and lets you use code notebooks to prototype your recipes. Check out the use cases!

APIs in Dataiku allow coders to programmatically interact with various Dataiku objects and with the instance itself to accomplish a wide variety of tasks. Check them out!

Learn about the setup and maintenance of Dataiku. Find out if your environment is ready for installation and how to connect to all your databases.

Learn how to use metrics, checks, and scenarios in Dataiku to schedule jobs, automate your workflows and monitor the status and quality of your datasets.