> ## 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.

# Qlik Sense

> Connect Qlik Sense to your data in Nekt for analysis and dashboards.

Connect Qlik Sense to your data in Nekt. How you connect depends on your cloud deployment.

|                  | Connector       | Notes                              |
| :--------------- | :-------------- | :--------------------------------- |
| **Nekt Express** | Google BigQuery | Via the Qlik BigQuery connector    |
| **GCP**          | Google BigQuery | Via the Qlik BigQuery connector    |
| **AWS**          | Amazon Athena   | Via the Qlik Athena ODBC connector |

<Warning>
  Nekt does not have a native connector for Qlik Sense. Registering an integration in the Nekt platform has no effect on the Qlik Sense connection — it only helps you stay organized about your existing dashboards. The connection is configured directly in Qlik Sense.
</Warning>

***

## Nekt Express

Nekt Express uses GCP infrastructure. Connect Qlik Sense using the native **Google BigQuery** connector.

<Note>
  You will need a Google account with access to the `nekt-hosted-infrastructure` BigQuery project. Refer to [Qlik's BigQuery connector documentation](https://help.qlik.com/en-US/connectors/Subsystems/ODBC_connector_help/Content/Connectors_ODBC/BigQuery/BigQuery-connector.htm) for full setup details.
</Note>

1. In Qlik Sense, go to **Add new data** → **Data Connection**.
2. Search for and select **Google BigQuery**.
3. Authenticate with your Google account that has access to `nekt-hosted-infrastructure`.
4. Browse to your dataset (each layer is a dataset in BigQuery) and select tables.

***

## GCP

Your Nekt workspace is on your own GCP account. Connect Qlik Sense using the native **Google BigQuery** connector with your own project.

<Note>
  Refer to [Qlik's BigQuery connector documentation](https://help.qlik.com/en-US/connectors/Subsystems/ODBC_connector_help/Content/Connectors_ODBC/BigQuery/BigQuery-connector.htm) for full setup details.
</Note>

1. In Qlik Sense, go to **Add new data** → **Data Connection**.
2. Select **Google BigQuery**.
3. Authenticate with your GCP credentials.
4. Select your project, datasets, and tables.

***

## AWS

Your Nekt workspace is on your own AWS account. Connect Qlik Sense using the **Amazon Athena** ODBC connector.

> You will need AWS credentials — Access Key ID and Secret Access Key. Generate them using [this AWS guide](https://docs.aws.amazon.com/IAM/latest/UserGuide/access-key-self-managed.html#Using_CreateAccessKey).

### Step 1: Find the Athena connector

1. In the Qlik Sense main page, go to **Add new data** → **Data Connection**.

   <img height="100" src="https://mintcdn.com/nekt/8JThMAKlZWpJ2cLM/assets/qliksense1.png?fit=max&auto=format&n=8JThMAKlZWpJ2cLM&q=85&s=f76891a353bf8c1afe6fbd09643cc67d" data-path="assets/qliksense1.png" />

2. Select **Amazon Athena**.

   <Note>
     There is a second Athena option labeled "via Direct Access Gateway" — do not use it. This guide requires the standard **Amazon Athena** connector.
   </Note>

   <img height="100" src="https://mintcdn.com/nekt/8JThMAKlZWpJ2cLM/assets/qliksense2.png?fit=max&auto=format&n=8JThMAKlZWpJ2cLM&q=85&s=62fcb35d163926e848a0c5e4eec6fda7" data-path="assets/qliksense2.png" />

### Step 2: Enter connection credentials

Update the following fields (you can leave others as default):

* **AWS Region**: your workspace region
* **Data source**: `AwsDataCatalog`
* **Database**: the layer to connect
* **Workgroup**: `primary`
* **Access key ID**: your IAM Access Key ID
* **Secret Key**: your IAM Secret Access Key
* **S3 output location**: `s3://nekt-lakehouse-{your_company_slug}/_athena`

Contact Nekt support for your company slug and region.

Click **Test Connection** to verify.

<img height="100" src="https://mintcdn.com/nekt/8JThMAKlZWpJ2cLM/assets/qliksense4.png?fit=max&auto=format&n=8JThMAKlZWpJ2cLM&q=85&s=38f2c037498d9bf3aae04d076056ccbe" data-path="assets/qliksense4.png" />

### Step 3: Connect and select data

Click **Connect and Analyze**. Use the checkboxes to select the tables and columns you need, then click **Next** to start building dashboards.

<img height="100" src="https://mintcdn.com/nekt/8JThMAKlZWpJ2cLM/assets/qliksense5.png?fit=max&auto=format&n=8JThMAKlZWpJ2cLM&q=85&s=a9689bff2e3da7ea5993a4b0cc8b2c65" data-path="assets/qliksense5.png" />

> For more details, see the [Qlik Sense Amazon Athena connector documentation](https://help.qlik.com/en-US/connectors/Subsystems/ODBC_connector_help/Content/Connectors_ODBC/Athena/Athena-connector.htm).