Build Pipelines with Live MongoDB Data in Google Cloud Data Fusion (via CData Connect Cloud)


Use CData Connect Cloud to connect to MongoDB from Google Cloud Data Fusion, enabling the integration of live MongoDB data into the building and management of effective data pipelines.

Google Cloud Data Fusion simplifies building and managing data pipelines by offering a visual interface to connect, transform, and move data across various sources and destinations, streamlining data integration processes. When combined with CData Connect Cloud, it provides access to MongoDB data for building and managing ELT/ETL data pipelines. This article explains how to use CData Connect Cloud to create a live connection to MongoDB and how to connect and access live MongoDB data from the Cloud Data Fusion platform.

About MongoDB Data Integration

Accessing and integrating live data from MongoDB has never been easier with CData. Customers rely on CData connectivity to:

MongoDB's flexibility means that it can be used as a transactional, operational, or analytical database. That means CData customers use our solutions to integrate their business data with MongoDB or integrate their MongoDB data with their data warehouse (or both). Customers also leverage our live connectivity options to analyze and report on MongoDB directly from their preferred tools, like Power BI and Tableau.

For more details on MongoDB use case and how CData enhances your MongoDB experience, check out our blog post: The Top 10 Real-World MongoDB Use Cases You Should Know in 2024.


Getting Started


Configure MongoDB Connectivity for Cloud Data Fusion

Connectivity to MongoDB from Cloud Data Fusion is made possible through CData Connect Cloud. To work with MongoDB data from Cloud Data Fusion, we start by creating and configuring a MongoDB connection.

  1. Log into Connect Cloud, click Connections and click Add Connection
  2. Select "MongoDB" from the Add Connection panel
  3. Enter the necessary authentication properties to connect to MongoDB.

    Set the Server, Database, User, and Password connection properties to connect to MongoDB. To access MongoDB collections as tables you can use automatic schema discovery or write your own schema definitions. Schemas are defined in .rsd files, which have a simple format. You can also execute free-form queries that are not tied to the schema.

  4. Click Create & Test
  5. Navigate to the Permissions tab in the Add MongoDB Connection page and update the User-based permissions.

Add a Personal Access Token

If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.

  1. Click on your username at the top right of the Connect Cloud app and click User Profile.
  2. On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
  3. Give your PAT a name and click Create.
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured, you are ready to connect to MongoDB data from Cloud Data Fusion.

Connecting to MongoDB from Cloud Data Fusion

Follow these steps to establish a connection from Cloud Data Fusion to MongoDB through the CData Connect Cloud JDBC driver:

  1. Download and install the CData Connect Cloud JDBC driver:
    1. Open the Client Tools page of CData Connect Cloud.
    2. Search for JDBC or Cloud Data Fusion.
    3. Click on Download and select your operating system (Mac/Windows/Linux).
    4. Once the download is complete, run the setup file.
    5. When the installation is complete, the JAR file can be found in the installation directory (inside the lib folder).
  2. Log into Cloud Data Fusion.
  3. Click the green "+" button at the top right to add an entity.
  4. Under Driver, click Upload.
  5. Now, upload the CData Connect Cloud JDBC driver (JAR file).
  6. Enter the driver settings:
    • Name: Enter the name of the driver
    • Class name: Enter "cdata.jdbc.connect.ConnectDriver"
    • Version: Enter the driver version
    • Description (optional): Enter a description for the driver
  7. Click on Finish.
  8. Enter source configuration settings:
    • Label: Helps to identify the connection
    • JDBC driver name: Enter the JDBC driver name to identify the driver configured in Step 6.
    • Connection string: Enter the JDBC connection string and include the following parameters in it: jdbc:connect:AuthScheme=Basic;User=[User];Password=[Password];
    • User: Enter your CData Connect Cloud username, displayed in the top-right corner of the CData Connect Cloud interface. For example, "test@cdata.com"
    • Password: Enter the PAT you generated on the Settings page.
  9. Click Validate in the top right corner.
  10. If the connection is successful, you can manage the pipeline by editing it through the UI.
  11. Run the pipepline created.

Troubleshooting

Please be aware that there is a known issue in Cloud Data Fusion where "int" types from source data are automatically cast as "long".

Live Access to MongoDB Data from Cloud Applications

Now you have a direct connection to live MongoDB data from from Google Cloud Data Fusion. You can create more connections to ensure a smooth movement of data across various sources and destinations, thereby streamlining data integration processes - all without replicating MongoDB data.

To get real-time data access to 100+ SaaS, Big Data, and NoSQL sources (including MongoDB) directly from your cloud applications, explore the CData Connect Cloud.

Ready to get started?

Learn more about CData Connect Cloud or sign up for free trial access:

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