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URL: https://www.cdata.com/kb/tech/odata-jdbc-google-data-fusion.rst

⇱ Build OData-Connected ETL Processes in Google Data Fusion

Build OData-Connected ETL Processes in Google Data Fusion

👁 Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Load the CData JDBC Driver into Google Data Fusion and create ETL processes with access live OData services.

Google Data Fusion allows users to perform self-service data integration to consolidate disparate data. Uploading the CData JDBC Driver for OData enables users to access live OData services from within their Google Data Fusion pipelines. While the CData JDBC Driver enables piping OData services to any data source natively supported in Google Data Fusion, this article explains how to pipe data from OData to Google BigQuery,

About OData Data Integration

CData simplifies access and integration of live OData services data. Our customers leverage CData connectivity to:

  • Access OData versions 2.0, 3.0, and 4.0, working with legacy services and the latest features and capabilities.
  • Leverage advanced query options, including $filter, $select, and $expand, enhancing data retrieval from 3rd party tools.
  • Use Server-side execution of aggregation and grouping to minimize data transfer and boost performance.
  • Authenticate securely using a variety of schemes, including Azure AD, digest, negotiate, NTLM, OAuth, and more means secure authentication with every connection.
  • Use SQL stored procedures to manage OData service entities - listing, creating, and removing associations between entities.

Customers use CData's solutions to regularly integrate their OData services with preferred tools, such as Power BI, MicroStrategy, or Tableau, and to replicate data from OData services to their databases or data warehouses.


Getting Started


Upload the CData JDBC Driver for OData to Google Data Fusion

Upload the CData JDBC Driver for OData to your Google Data Fusion instance to work with live OData services. Due to the naming restrictions for JDBC drivers in Google Data Fusion, create a copy or rename the JAR file to match the following format driver-version.jar. For example: cdataodata-2020.jar

  1. Open your Google Data Fusion instance
  2. Click the to add an entity and upload a driver 👁 Image
  3. On the "Upload driver" tab, drag or browse to the renamed JAR file.
  4. On the "Driver configuration" tab:
    • Name: Create a name for the driver (cdata.jdbc.odata) and make note of the name
    • Class name: Set the JDBC class name: (cdata.jdbc.odata.ODataDriver)
    👁 Configuring the driver (Salesforce is shown.)
  5. Click "Finish"

Connect to OData Services in Google Data Fusion

With the JDBC Driver uploaded, you are ready to work with live OData services in Google Data Fusion Pipelines.

  1. Navigate to the Pipeline Studio to create a new Pipeline
  2. From the "Source" options, click "Database" to add a source for the JDBC Driver 👁 Adding a database source
  3. Click "Properties" on the Database source to edit the properties

    NOTE: To use the JDBC Driver in Google Data Fusion, you will need a license (full or trial) and a Runtime Key (RTK). For more information on obtaining this license (or a trial), contact our sales team.

    • Set the Label
    • Set Reference Name to a value for any future references (i.e.: cdata-odata)
    • Set Plugin Type to "jdbc"
    • Set Connection String to the JDBC URL for OData. For example:

      jdbc:odata:RTK=5246...;URL=http://services.odata.org/V4/Northwind/Northwind.svc;UseIdUrl=True;OData Version=4.0;Data Format=ATOM;

      The User and Password properties, under the Authentication section, must be set to valid OData user credentials. In addition, specify a URL to a valid OData server organization root or OData services file.

      Built-in Connection String Designer

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

       java -jar cdata.jdbc.odata.jar

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

      👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
    • Set Import Query to a SQL query that will extract the data you want from OData, i.e.:
      SELECT * FROM Orders
    👁 Configuring the database source
  4. From the "Sink" tab, click to add a destination sink (we use Google BigQuery in this example)
  5. Click "Properties" on the BigQuery sink to edit the properties
    • Set the Label
    • Set Reference Name to a value like odata-bigquery
    • Set Project ID to a specific Google BigQuery Project ID (or leave as the default, "auto-detect")
    • Set Dataset to a specific Google BigQuery dataset
    • Set Table to the name of the table you wish to insert OData services into
    👁 Configuring the BigQuery sink

With the Source and Sink configured, you are ready to pipe OData services into Google BigQuery. Save and deploy the pipeline. When you run the pipeline, Google Data Fusion will request live data from OData and import it into Google BigQuery. 👁 Image

While this is a simple pipeline, you can create more complex OData pipelines with transforms, analytics, conditions, and more. Download a free, 30-day trial of the CData JDBC Driver for OData and start working with your live OData services in Google Data Fusion today.