Prepare, Blend, and Analyze JSON Services in Alteryx Designer

The CData ODBC Driver for JSON enables access to live data from JSON under the ODBC standard, allowing you work with JSON services in a wide variety of BI, reporting, and ETL tools and directly, using familiar SQL queries. This article shows how to connect to JSON services 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 JSON services in Alteryx Designer due to optimized data processing built into the driver. When you issue complex SQL queries from Alteryx Designer to JSON, the driver pushes supported SQL operations, like filters and aggregations, directly to JSON 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 JSON services using native Alteryx data field types.

Connect to JSON Services

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.
   
   

   See the Getting Started chapter in the data provider documentation to authenticate to your data source: The data provider models JSON APIs as bidirectional database tables and JSON files as read-only views (local files, files stored on popular cloud services, and FTP servers). The major authentication schemes are supported, including HTTP Basic, Digest, NTLM, OAuth, and FTP. See the Getting Started chapter in the data provider documentation for authentication guides.

   After setting the URI and providing any authentication values, set DataModel to more closely match the data representation to the structure of your data.

   The DataModel property is the controlling property over how your data is represented into tables and toggles the following basic configurations.

   • Document (default): Model a top-level, document view of your JSON data. The data provider returns nested elements as aggregates of data.
   • FlattenedDocuments: Implicitly join nested documents and their parents into a single table.
   • Relational: Return individual, related tables from hierarchical data. The tables contain a primary key and a foreign key that links to the parent document.

   See the Modeling JSON Data chapter for more information on configuring the relational representation. You will also find the sample data used in the following examples. The data includes entries for people, the cars they own, and various maintenance services performed on those cars.

   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 drop down under Connect a File or Database and select the Data sources tab.
5. Navigate tot he end of the page and click on "ODBC" under "Generic connection"
6. Select the DSN (CData JSON Source) 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 JSON, 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.

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 JSON services you want .

With the query defined, you are ready to work with JSON services in Alteryx Designer.

Perform Self-Service Analytics on JSON Services

You are now ready to create a workflow to prepare, blend, and analyze JSON services. 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 JSON services in the results view.

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