Prepare, Blend, and Analyze Databricks Data in Alteryx Designer



Build workflows to access live Databricks data for self-service data analytics.

Alteryx is a software platform that allows people to work with data more easily. When paired with CData Connect Cloud, Alteryx provides instant access to Databricks data from your data automation processes. This article demonstrates how to connect to Databricks using Connect Cloud and work with Databricks data in Alteryx.

CData Connect Cloud offers a dedicated SQL Server interface for Databricks, facilitating data querying without the need for data replication to a native database. With built-in optimized data processing capabilities, CData Connect Cloud efficiently directs all supported SQL operations, including filters and JOINs, straight to Databricks. This harnesses server-side processing to rapidly retrieve the desired Databricks data.

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 Alteryx

Connectivity to Databricks from Alteryx is made possible through CData Connect Cloud. To work with Databricks data from Alteryx, 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.

Connect to Databricks from Alteryx

Once you establish a connection to Databricks in Connect Cloud, you are ready to work with Databricks data in Alteryx. To begin, download the ODBC Driver for CData Connect.

  1. In the ODBC Driver for CData Connect, select OAuth and click Test Connection. Then enter your CData Connect Cloud Credentials and Sign in.
  2. Open Alteryx Designer and create a new workflow.
  3. Drag and drop a new input data tool onto the workflow.
  4. Click the drop down under Connect a File or Database and select the Data sources tab.
  5. Navigate to the end of the page and click on ODBC under Generic connection.
  6. Select the DSN that you configured for use in Alteryx.
  7. In the wizard that opens, drag and drop the table to be queried in the Query Builder box. Select the fields by checking the boxes that you wish to include in your query. Where possible, the complex queries generated by the filters and aggregations will be pushed down to your data source, while any unsupported operations (which can include SQL functions and JOIN operations) will be managed client-side by the CData SQL engine embedded in the connector.

To further customize the dataset, you can open the SQL Editor and modify the query manually, adding clauses, aggregations, and other operations to ensure that you are retrieving exactly the data desired.

With the query defined, you are ready to work with your data in Alteryx Designer.

Get CData Connect Cloud

To get live data access to 100+ SaaS, Big Data, and NoSQL sources directly from your SQL Server database, try CData Connect Cloud today!

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Learn more about CData Connect Cloud or sign up for free trial access:

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