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Create Reports from Marketo Data in Google Data Studio

Use the CData Cloud Hub to create a virtual MySQL Database for Marketo data and create custom reports in Google Data Studio.

Google Data Studio allows you to create branded reports with data visualizations to share with your clients. When paired with the CData Cloud Hub, you get instant, cloud-to-cloud access to Marketo data for visualizations, dashboards, and more. This article shows how to create a virtual database for Marketo and build reports from Marketo data in Google Data Studio.

The CData Cloud Hub provides a pure cloud-to-cloud interface for Marketo, allowing you to easily build reports from live Marketo data in Google Data Studio — without replicating the data. As you build visualizations, Google Data Studio generates queries to gather data. Using optimized data processing out of the box, the CData Cloud Hub pushes all supported query operations (filters, JOINs, etc) directly to Marketo, leveraging server-side processing to quickly return Marketo data.

This article requires a CData Cloud Hub instance and the CData Cloud Hub Connector for Google Data Studio. Get more information on the CData Cloud Hub and sign up for a free trial at https://www.cdata.com/cloudhub.


Connect to Marketo from the Cloud Hub

CData Cloud Hub uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

  1. Log into Cloud Hub and click Databases.
  2. Select "Marketo" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to Marketo.

    Both the REST and SOAP APIs are supported and can be chosen by using the Schema property.

    For the REST API: The OAuthClientId, OAuthClientSecret, and RESTEndpoint properties, under the OAuth and REST Connection sections, must be set to valid Marketo user credentials.

    For the SOAP API: The UserId, EncryptionKey, and SOAPEndpoint properties, under the SOAP Connection section, must be set to valid Marketo user credentials.

    See the "Getting Started" chapter of the help documentation for a guide to obtaining these values.

  4. Click Test Database.
  5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to connect to Marketo data from Google Data Studio.

Visualize Live Marketo Data in Google Data Studio

The steps below outline connecting to the CData Cloud Hub from Google Data Studio to create a new Marketo data source and build a simple visualization from the data.

  1. Log into Google Data Studio, click data sources, create a new data source, and choose CData Cloud Hub Connector.
  2. Authorize the Connector to connect to an external service (your Cloud Hub instance).
  3. Use your instance name (myinstance in myinstance.cdatacloud.net), username, and password to connect to your Cloud Hub instance.
    • Username: myinstance/username
    • Password: your Cloud Hub password
  4. Select a Database (e.g. Marketo1) and click Next.
  5. Select a Table (e.g. Leads) and click Next.
  6. Click Connect.
  7. If needed, modify columns, click Create Report, and add the data source to the report.
  8. Select a visualization style and add it to the report.
  9. Select Dimensions and Measures to customize your visualization.

Optional: Connect with the MySQL Connector

If you need to work with data from a custom SQL query, you can use the MySQL Connector. Connect using the server information for your Cloud Hub instance (server address, port, username, and password).

SQL Access to Marketo Data from Cloud Applications

Now you have a direct, cloud-to-cloud connection to live Marketo data from your Google Data Studio workbook. You can create more data sources and new visualizations, build reports, and more — all without replicating Marketo data.

Try the CData Cloud Hub and get SQL data access to 100+ SaaS, Big Data, and NoSQL sources directly from your cloud applications.