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URL: https://www.cdata.com/kb/tech/databricks-cloud-qlikcloud.rst

⇱ Create Apps from Databricks Data in Qlik Sense Cloud

Create Apps from Databricks Data in Qlik Sense Cloud

👁 Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use CData Connect AI to connect to Databricks Data and build apps from live Databricks data in Qlik Sense Cloud.

Qlik Sense Cloud allows you to create and share data visualizations and interact with information in new ways. CData Connect AI creates a live connection to Databricks. By pairing Qlik Sense Cloud with CData Connect AI, you get true cloud-to-cloud connectivity to all of your SaaS and cloud-based Big Data and NoSQL sources — no need to migrate your data or write your integrations. Simply connect to Connect AI from Qlik Sense Cloud and get instant, live access to your Databricks data.

In this article, we walk through two connections:

  1. Connecting to Databricks in Connect AI
  2. Connecting to Connect AI from Qlik Sense Cloud to create a model and build a simple dashboard

About Databricks Data Integration

Accessing and integrating live data from Databricks has never been easier with CData. Customers rely on CData connectivity to:

  • Access all versions of Databricks from Runtime Versions 9.1 - 13.X to both the Pro and Classic Databricks SQL versions.
  • Leave Databricks in their preferred environment thanks to compatibility with any hosting solution.
  • Secure authenticate in a variety of ways, including personal access token, Azure Service Principal, and Azure AD.
  • Upload data to Databricks using Databricks File System, Azure Blog Storage, and AWS S3 Storage.

While many customers are using CData's solutions to migrate data from different systems into their Databricks data lakehouse, several customers use our live connectivity solutions to federate connectivity between their databases and Databricks. These customers are using SQL Server Linked Servers or Polybase to get live access to Databricks from within their existing RDBMs.

Read more about common Databricks use-cases and how CData's solutions help solve data problems in our blog: What is Databricks Used For? 6 Use Cases.


Getting Started


Configure Databricks Connectivity for Qlik Sense Cloud

Connectivity to Databricks from Qlik Cloud is made possible through CData Connect AI. To work with Databricks data from Qlik Cloud, we start by creating and configuring a Databricks connection.

  1. Log into Connect AI, click Sources, and then click Add Connection
    2. 👁 Adding a Connection
  2. Select "Databricks" from the Add Connection panel
    3. 👁 Selecting a data source
  3. Enter the necessary authentication properties to connect to Databricks.

    To connect to a Databricks cluster, set the properties as described below.

    Note: The needed values can be found in your Databricks instance by navigating to Clusters, and selecting the desired cluster, and selecting the JDBC/ODBC tab under Advanced Options.

    • Server: Set to the Server Hostname of your Databricks cluster.
    • HTTPPath: Set to the HTTP Path of your Databricks cluster.
    • Token: Set to your personal access token (this value can be obtained by navigating to the User Settings page of your Databricks instance and selecting the Access Tokens tab).
    👁 Configuring a connection (Salesforce is shown)
  4. Click Save & Test
  5. Navigate to the Permissions tab in the Add Databricks Connection page and update the User-based permissions. 👁 Updating permissions

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create. 👁 Creating a new PAT
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to Databricks data from Qlik Sense Cloud.

Create a Qlik Sense App from Databricks Data

This section explains how to add Databricks data to a Qlik Sense app for visualizations, analytics, reporting, and more.

Create a New App and Upload Data

  1. Log into your Qlik Sense instance and click the button to create a new app 👁 Creating a new app
  2. Name and configure the new app and click "Create"
  3. In the workspace, click to open the new app
  4. Click to add data from files and other sources 👁 Selecting a connector
  5. Select the Microsoft SQL Server connector and set the configuration properties.
    • Set Server to tds.cdata.com
    • Set Port to 14333
    • Set Database to the connection you created (e.g. Databricks1)
    • Set User name to the Connect AI user (e.g. [email protected])
    • Set Password to the PAT for the above user
    👁 Configuring the connection
  6. Select an owner for the connection
  7. Select a Databricks entity (Table) to view 👁 Adding data to the app (Salesforce is shown.)
  8. Click Next, configure the model, and load the data into Qlik Sense.

Generate Insights or Customize Your App

With the data loaded into Qlik Sense, you are ready to begin discovering insights. You can build custom visualizations, reports, and dashboards engineered to gain actionable insights into your Databricks data.

👁 Generating insights on live data (Salesforce is shown.)

More Information & Free Trial

Now, you have created a simple but powerful dashboard from live Databricks data. For more information on creating OData feeds from Databricks (and more than 100 other data sources), visit the Connect AI page. Sign up for a free trial and start working with live Databricks data in Qlik Sense Cloud.