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

# Looker Studio

> Connect Looker Studio to your data in Nekt to build reports and dashboards.

Connect Looker Studio to your data in Nekt. How you connect depends on your cloud deployment.

|                  | Connector                | Token required |
| :--------------- | :----------------------- | :------------- |
| **Nekt Express** | Google BigQuery (native) | No             |
| **GCP**          | Google BigQuery (native) | No             |
| **AWS**          | Nekt custom connector    | Yes            |

***

## Nekt Express

Nekt Express uses GCP infrastructure. Connect via the native BigQuery connector using the shared Nekt project.

### Step 1: Register the integration in Nekt

1. In the Nekt platform, go to **Integrations** and click **Add integration**.
2. Select **Looker Studio** from the list.
3. Enter the email address associated with your Looker Studio account.
4. Add a description to identify this integration.

### Step 2: Choose the BigQuery connector

1. [Sign in to Looker Studio](https://lookerstudio.google.com/). Use the same email registered in step 1.
2. Click **Create** → **Data Source**.
3. Select the **BigQuery** connector.
4. If prompted, click **AUTHORIZE** and allow the necessary permissions.

### Step 3: Set the Project ID

When prompted, enter the following Project ID:

```
nekt-hosted-infrastructure
```

Press **Enter** to confirm. This is only required the first time — subsequent connections will recognize it automatically.

### Step 4: Select the data and explore

1. Browse to the dataset and table you want to connect.
2. Click **Connect** in the top-right corner.
3. You will see a column preview. Click **Explore** or **Create Report** to proceed.

***

## GCP

Your Nekt workspace is hosted on your own GCP account. Connect directly to BigQuery using your project.

### Step 1: Choose the BigQuery connector

1. [Sign in to Looker Studio](https://lookerstudio.google.com/).
2. Click **Create** → **Data Source**.
3. Select the **BigQuery** connector.
4. If prompted, authorize with your GCP account email and click **Allow**.

### Step 2: Select the data and explore

1. Under **My Projects**, find and select the table you want to connect.
2. Click **Connect** in the top-right corner.
3. Click **Explore** or **Create Report** to proceed.

***

## AWS

Your Nekt workspace is hosted on your own AWS account. Connection is made through **Nekt's custom Looker Studio connector**, which requires a scoped access token.

### Step 1: Generate a token

1. In the Nekt platform, go to **Integrations**, find **Looker Studio**, and click **Configure**.

2. Create an access token and select the tables you want to make available. You can select tables from any Lakehouse layer.

   <Note>
     The token grants access only to the tables selected here. You can create multiple tokens to give access to different sets of tables, which is useful for data governance.
   </Note>

3. Click **Next**.

4. Give the integration a description (this helps you identify it later). Optionally, add a link to the report.

5. Click **Next**, then copy the generated token from the Integrations page.

### Step 2: Open Nekt's connector

Access Nekt's Looker Studio connector directly via this link:

[Open Nekt connector in Looker Studio](https://lookerstudio.google.com/datasources/create?connectorId=AKfycbwFfHPxHQzcxVuHeIbCoMywA1UjGCv0YY2gD9N1pnQ)

On your first use, click **AUTHORIZE** and complete the Google sign-in. Click **Allow** to confirm permissions.

### Step 3: Configure the connection

Fill in the access parameters:

1. **Nekt data visualization token**: paste the token generated in Step 1.
2. **Table**: select the table to connect (Looker Studio connects one table at a time).

   <img height="200" src="https://mintcdn.com/nekt/h1spgKxG1l5LNY-b/assets/lookerstudio1.png?fit=max&auto=format&n=h1spgKxG1l5LNY-b&q=85&s=8900073e53cb5b9258cb2838e5a5147d" data-path="assets/lookerstudio1.png" />

Click **NEXT** and configure optional parameters:

* **Date range column name**: the column to use when applying date range filters in reports.
* **Row limit**: maximum rows per query. Default is `1000`. Set to `-1` to fetch all rows.

  <img height="200" src="https://mintcdn.com/nekt/h1spgKxG1l5LNY-b/assets/lookerstudio2.png?fit=max&auto=format&n=h1spgKxG1l5LNY-b&q=85&s=a7a118c91ac1f8bc3511802f38a7a1a2" data-path="assets/lookerstudio2.png" />

You can name the data source at the top of the page.

### Step 4: Connect and explore

Click **Connect** in the top-right corner. You will see a column preview. Click **Explore** or **Create Report** to proceed.