Tutorial | Create your first project#

In this tutorial, we’ll cover much of what you need to familiarize yourself with Dataiku projects.

Note

As opposed to concepts, articles marked as tutorial have step-by-step instructions aimed at having you reproduce the actions described.

Tip

This content is also included in the Core Designer learning path. After learning this material, challenge yourself to earn a certification!

Get started#

Objectives#

In this tutorial, you will:

  • Create a Dataiku project.

  • Explore the project homepage.

Prerequisites#

To complete this tutorial, you’ll need the following:

  • A Dataiku instance (version 12.0 and above).

    Note

    If you do not already have access, there are two ways to get started. From the Dataiku website, you can:

    • Start a 14 day free trial of Dataiku Cloud.

    • Install the free edition.

    A Dataiku screenshot of the website page to get started with the free edition or the Dataiku cloud trial.

Create your project#

Let’s get started! The first step is to create a new Dataiku project.

  1. From the Dataiku homepage, click + New project > DSS tutorials > Core Designer > Create Your First Project. This action creates the starter project for you with a project ID (here TUT_FIRST_PROJECT) unique to your instance.

Note

You can also download the starter project from this website and import it as a zip file.

Important

You cannot change the project ID once it is created in Dataiku. If you want a project with a different ID, you can duplicate the project and specify a new ID for the duplicate project.

  1. Explore the project homepage to discover the different tabs and features available on it.

    A Dataiku screenshot showing a project homepage.

    Tip

    At any time, you can access the project homepage by clicking the project title near the top left corner of the screen.

  2. Click Go to Flow (or g + f) to open the Flow. You’ll see two datasets in it (tx and merchants). We’ll explore them later on.

What’s next?#

You now have a project, with two datasets in it. Acquiring some additional data will be covered in Tutorial | Getting started with datasets.