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URL: https://www.cdata.com/kb/tech/presto-odata-power-bi.rst

⇱ Use the CData API Server in Microsoft Power BI

Use the CData API Server in Microsoft Power BI

👁 Stanley Liu
Stanley Liu
Associate Technical Product Marketer
You can use the CData API Server to feed Presto data to Power BI dashboards. Simply drag and drop Presto data into data visuals on the Power BI canvas.

The CData API Server enables you to use REST, OData, JSON, or Open APIs to connect to and query Presto data. The OData standard enables real-time access to the live data, and support for OData is integrated into Power BI. This article details how to import an OData feed of Presto data into Microsoft Power BI.

About Presto Data Integration

Accessing and integrating live data from Trino and Presto SQL engines has never been easier with CData. Customers rely on CData connectivity to:

  • Access data from Trino v345 and above (formerly PrestoSQL) and Presto v0.242 and above (formerly PrestoDB)
  • Read and write access all of the data underlying your Trino or Presto instances
  • Optimized query generation for maximum throughput.

Presto and Trino allow users to access a variety of underlying data sources through a single endpoint. When paired with CData connectivity, users get pure, SQL-92 access to their instances, allowing them to integrate business data with a data warehouse or easily access live data directly from their preferred tools, like Power BI and Tableau.

In many cases, CData's live connectivity surpasses the native import functionality available in tools. One customer was unable to effectively use Power BI due to the size of the datasets needed for reporting. When the company implemented the CData Power BI Connector for Presto they were able to generate reports in real-time using the DirectQuery connection mode.


Getting Started


Set Up the API Server

If you have not already done so, download the CData API Server. Once you have installed the API Server, follow the steps below to begin producing secure Presto OData services:

Connect to Presto

To work with Presto data from Microsoft Power BI, we start by creating and configuring a Presto connection. Follow the steps below to configure the API Server to connect to Presto data:

  1. First, navigate to the Connections page.
  2. Click Add Connection and then search for and select the Presto connection. 👁 Selecting a data source (SQLite is shown)
  3. Enter the necessary authentication properties to connect to Presto. 👁 Connecting to a datasource (SQLite is shown)
  4. After configuring the connection, click Save & Test to confirm a successful connection.

Configure API Server Users

Next, create a user to access your Presto data through the API Server. You can add and configure users on the Users page. Follow the steps below to configure and create a user:

  1. On the Users page, click Add User to open the Add User dialog.
  2. Next, set the Role, Username, and Privileges properties and then click Add User. 👁 Configure a new user
  3. An Authtoken is then generated for the user. You can find the Authtoken and other information for each user on the Users page: 👁 API Server user settings

Creating API Endpoints for Presto

Having created a user, you are ready to create API endpoints for the Presto tables:

  1. First, navigate to the API page and then click Add Table . 👁 Add tables
  2. Select the connection you wish to access and click Next. 👁 Select the connection (SQLite is shown)
  3. With the connection selected, create endpoints by selecting each table and then clicking Confirm. 👁 Adding tables from the connection (SQLite is shown)

Gather the OData Url

Having configured a connection to Presto data, created a user, and added resources to the API Server, you now have an easily accessible REST API based on the OData protocol for those resources. From the API page in API Server, you can view and copy the API Endpoints for the API:

👁 API Endpoints

Connect to Presto Data from Power BI Desktop

  1. Open Power BI Desktop and click Get Data -> OData feed. 👁 Starting the OData connection
  2. In the OData feed connection, set the URL property to the OData Endpoint URL previously copied and click OK (e.g. "http://localhost:8080/api.rsc"): 👁 The URL of the OData endpoint for API Server
  3. In the next step of the wizard, define the authentication credentials. Select Basic and then enter the credentials for a user authorized to make requests. Specify the User name and enter the user's authtoken in the Password field: 👁 Authenticating with API Server
  4. Select the tables that you would like to import into Power BI and click Load 👁 Selecting tables (SQLite is shown)

Create Data Visualizations

After pulling the data into Power BI, you can create data visualizations in the Report view. Follow the steps below to create a pie chart:

  1. Select the pie chart icon in the Visualizations pane.
  2. Select a dimension in the Fields pane: for example, Genre Name.
  3. Select a measure in the Fields pane: for example, GenreId.
👁 A pie chart showing the Count of Tracks by Genre (SQLite is shown)

You can change sort options by clicking the ellipsis (...) button for the chart. Options to select the sort column and change the sort order are displayed.

You can use both highlighting and filtering to focus on data. Filtering removes unfocused data from visualizations; highlighting dims unfocused data. You can highlight fields by clicking them: 👁 A highlighted genre in a pie chart (SQLite is shown)

You can apply filters at the page level, at the report level, or to a single visualization by dragging fields onto the Filters pane. To filter on the field's value, select one of the values that are displayed in the Filters pane.

👁 Filtered pie chart (SQLite is shown)

Click Refresh to synchronize your report with any changes to the data.

Free Trial & More Information

If you are interested in connecting to your Presto data (or data from any of our other supported data sources) from Microsoft Power BI, download API Server to begin creating flexible and customizable REST, OData, JSON and Open APIs from any database or data store! As always, our world-class support team is ready to answer any questions you may have.