Integrate Miro Data in Pentaho Data Integration

The CData API Driver for JDBC enables access to live data from data pipelines. Pentaho Data Integration is an Extraction, Transformation, and Loading (ETL) engine that data, cleanses the data, and stores data using a uniform format that is accessible.This article shows how to connect to Miro data as a JDBC data source and build jobs and transformations based on Miro data in Pentaho Data Integration.

Configure to Miro Connectivity

Using API Key Authentication

Miro uses API Key authentication with an access token. To generate an access token:

1. Log in to your Miro account
2. Navigate to Settings > Your apps
3. Click "Create new app" or select an existing app
4. Configure the required permissions (e.g., boards:read, teams:read)
5. Install the app and generate an access token
6. Copy the generated access token (it will only be shown once)

After obtaining your access token, set the following connection properties:

• AuthScheme: Set this to APIKey.
• APIKey: Set this to your access token.

Connecting to Miro

Once the authentication is configured, you can connect to Miro and query data from any of the available tables such as Boards, Items, Teams, Organizations, and more.

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the Miro JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

java -jar cdata.jdbc.api.jar

Fill in the connection properties and copy the connection string to the clipboard.

When you configure the JDBC URL, 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.

Below is a typical JDBC URL:

jdbc:api:Profile=C:\profiles\Miro.apip;AuthScheme=APIKey;ProfileSettings='APIKey=your_access_token';

Save your connection string for use in Pentaho Data Integration.

Connect to Miro from Pentaho DI

Open Pentaho Data Integration and select "Database Connection" to configure a connection to the CData API Driver for JDBC

1. Click "General"
2. Set Connection name (e.g. Miro Connection)
3. Set Connection type to "Generic database"
4. Set Access to "Native (JDBC)"
5. Set Custom connection URL to your Miro connection string (e.g.
   

   jdbc:api:Profile=C:\profiles\Miro.apip;AuthScheme=APIKey;ProfileSettings='APIKey=your_access_token';

6. Set Custom driver class name to "cdata.jdbc.api.APIDriver"
7. Test the connection and click "OK" to save.

Create a Data Pipeline for Miro

Once the connection to Miro is configured using the CData JDBC Driver, you are ready to create a new transformation or job.

1. Click "File" >> "New" >> "Transformation/job"
2. Drag a "Table input" object into the workflow panel and select your Miro connection.
3. Click "Get SQL select statement" and use the Database Explorer to view the available tables and views.
4. Select a table and optionally preview the data for verification.

At this point, you can continue your transformation or jb by selecting a suitable destination and adding any transformations to modify, filter, or otherwise alter the data during replication.

Free Trial & More Information

Download a free, 30-day trial of the CData API Driver for JDBC and start working with your live Miro data in Pentaho Data Integration today.