> ## Documentation Index
> Fetch the complete documentation index at: https://docs.datazone.co/llms.txt
> Use this file to discover all available pages before exploring further.

# Create your first Project!

> Learn how to create your first project in Datazone

A Project is the root entity in Datazone used to keep your datasets, extracts, pipelines, schedules, and executions well organized.
When you start creating your data lakehouse in Datazone, the first step would be creating a Project.
You can also check detailed information about the project concept of Datazone here .

## Let's start your first project

1. Go to the **Projects** page by clicking on the **Projects** tab in the sidebar.
2. Click on the **Create Project** button.

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3. Fill in the required fields and click on the **Create** button.

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## Create Project via Datazone CLI

```shell theme={null}
datazone project create my-pretty-project
```

After you have successfully created your project, you can change directory to your project.

```shell theme={null}
cd my-pretty-project
```

### Clone already created project to your local

If you create your project previously or on UI already, you can clone it to your local via following command.

```shell theme={null}
datazone project clone <project-id>
```

### Example Project Folder Structure

You can manage your projects however you want. You can separate your pipelines into different directories or keep them in the root directory.

```shell theme={null}
my-pretty-project
├── pipeline.py
├── utils.py
├── config.yml
```

<Warning>`config.yml` is a required file for the all projects. You should not delete it.</Warning>

### Example Configuration File (config.yaml)

```yaml theme={null}
project_name: my-pretty-project
project_id: 67280ba2f4a0960d02159675
pipelines:
- alias: hello_world
  path: hello-world.py
  compute: LARGE
  spark_config:
    deploy_mode: client
    executor_instances: 3
```