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Prepare, Blend, and Analyze Phoenix Data in Alteryx Designer

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

The CData ODBC Driver for Phoenix enables access to live data from Phoenix under the ODBC standard, allowing you work with Phoenix data in a wide variety of BI, reporting, and ETL tools and directly, using familiar SQL queries. This article shows how to connect to Phoenix data using an ODBC connection in Alteryx Designer to perform self-service BI, data preparation, data blending, and advanced analytics.

The CData ODBC drivers offer unmatched performance for interacting with live Phoenix data in Alteryx Designer due to optimized data processing built into the driver. When you issue complex SQL queries from Alteryx Designer to Phoenix, the driver pushes supported SQL operations, like filters and aggregations, directly to Phoenix and utilizes the embedded SQL engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can visualize and analyze Phoenix data using native Alteryx data field types.

Connect to Phoenix Data

  1. If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can configure the DSN using the built-in Microsoft ODBC Data Source Administrator. This is also the last step of the driver installation. See the "Getting Started" chapter in the Help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.

    Connect to Apache Phoenix via the Phoenix Query Server. Set the Server and Port (if different from the default port) properties to connect to Apache Phoenix. The Server property will typically be the host name or IP address of the server hosting Apache Phoenix.

    Authenticating to Apache Phoenix

    By default, no authentication will be used (plain). If authentication is configured for your server, set AuthScheme to NEGOTIATE and set the User and Password properties (if necessary) to authenticate through Kerberos.

    When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

  2. Open Alteryx Designer and create a new workflow.
  3. Drag and drop a new input data tool onto the workflow.
  4. Click the new input data tool and under Connect a File or Database, select Database Connection -> New ODBC Connection.
  5. Select the DSN that you configured for use in Alteryx.
  6. In the wizard that opens, select the fields you wish to include in your query. Where possible, the complex queries generated by the filters and aggregations will be pushed down to Phoenix, 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 driver.
  7. If you wish to further customize your 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 Phoenix data you want.

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

Perform Self-Service Analytics on Phoenix Data

You are now ready to create a workflow to prepare, blend, and analyze Phoenix data. The CData ODBC Driver performs dynamic metadata discovery, presenting data using Alteryx data field types and allowing you to leverage the Designer's tools to manipulate data as needed and build meaningful datasets. In the example below, you will cleanse and browse data.

  1. Add a data cleansing tool to the workflow and check the boxes in Replace Nulls to replace null text fields with blanks and replace null numeric fields with 0. You can also check the box in Remove Unwanted Characters to remove leading and trailing whitespace.
  2. Add a browse data tool to the workflow.
  3. Click to run the workflow (CTRL+R).
  4. Browse your cleansed Phoenix data in the results view.

Thanks to built-in, high-performance data processing, you will be able to quickly cleanse, transform, and/or analyze your Phoenix data with Alteryx.