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Create Databricks-Connected Visualizations in Klipfolio



Use CData Connect Cloud to connect to Databricks from Klipfolio and build custom visualizations using live Databricks data.

Klipfolio is an online dashboard platform designed to create real-time business dashboards, whether for your team or clients. When combined with CData Connect Cloud, you gain immediate cloud-to-cloud access to Databricks data to create visualizations, reports, and more. This article provides step-by-step instructions on connecting to Databricks within Connect Cloud and creating visualizations using Databricks data in Klipfolio.

CData Connect Cloud offers a direct cloud-to-cloud interface for Databricks, enabling you to construct reports from real-time Databricks data data within Klipfolio—without the need for data replication to a database natively supported by Klipfolio. While building visualizations, Klipfolio generates SQL queries to fetch data. With optimized data processing capabilities out of the box, CData Connect Cloud efficiently directs all supported SQL operations (such as filters, JOINs, etc.) directly to Databricks, harnessing server-side processing to swiftly retrieve the requested Databricks data data.

Configure Databricks Connectivity for Klipfolio

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

  1. Log into Connect Cloud, click Connections and click Add Connection
  2. Select "Databricks" from the Add Connection panel
  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).
  4. Click Create & Test
  5. Navigate to the Permissions tab in the Add Databricks Connection page and update the User-based permissions.

Add a Personal Access Token

If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.

  1. Click on your username at the top right of the Connect Cloud app and click User Profile.
  2. On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
  3. Give your PAT a name and click Create.
  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, you are ready to connect to Databricks data Klipfolio.

Connect to Databricks from Klipfolio

The steps below outline connecting to CData Connect Cloud from Klipfolio to create a new Databricks data source.

  1. Open Klipfolio
  2. Click in Data Sources to add a new data source
  3. Search for and select MSSQL as the Service
  4. Click "Create a custom MSSQL data source"
  5. Configure the data source by setting the MSSQL connection properties:
    • Host: tds.cdata.com
    • Port: 14333
    • Database: your database (e.g., Databricks1)
    • Driver: MS SQL
    • Username: a Connect Cloud user (e.g. user@mydomain.com)
    • Password: the above user's PAT
    • SQL Query: any query to retrieve data (e.g. SELECT * FROM Customers )
    • Select the checkbox to "Include column headers"
    • Select the checkbox to "Use SSL/TLS"
  6. Click "Get data" to preview the Databricks data before building a data model.

Build a Data Model

After retrieving the data, click the checkbox to "Model your data" and click "Continue." In the new window, configure your data model.

  1. Confirm that the model includes all columns you wish to work with
  2. Name your model
  3. (optional) Set the Description
  4. Set "Header in row" to 1
  5. Click the toggle to "Exclude data before row" and set the value to 2
  6. Click "Save and Exit"

Create a Metric

With the data modeled, we are ready to create a Metric (or visualization) of the data to be used in the Klipfolio platform for dashboards, reporting, and more.

  1. Click "Create metrics"
  2. Select a Data source
  3. Select a Metric value and default aggregation
  4. Select Segmentation(s)
  5. Select a Date & time
  6. Select a Data shape
  7. Configure the Display settings
  8. Click Save
  9. Navigate to your Metric and further configure the visualization

SQL Access to Databricks Data from Cloud Applications

Now you have a Metric built from live Databricks data. You can add it to a new dashboard, share, and more. Easily create more data sources and new visualizations, produce reports, and more — all without replicating Databricks data.

To get SQL data access to 100+ SaaS, Big Data, and NoSQL sources directly from your cloud applications, try CData Connect Cloud.