Create Reports from SharePoint Data in Google Data Studio

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CData Connect



Use CData Connect Cloud to create a virtual MySQL Database for SharePoint 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 CData Connect Cloud, you get instant, cloud-to-cloud access to SharePoint data for visualizations, dashboards, and more. This article shows how to create a virtual database for SharePoint and build reports from SharePoint data in Google Data Studio.

CData Connect Cloud provides a pure cloud-to-cloud interface for SharePoint, allowing you to easily build reports from live SharePoint 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, CData Connect Cloud pushes all supported query operations (filters, JOINs, etc) directly to SharePoint, leveraging server-side processing to quickly return SharePoint data.

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


Connect to SharePoint from Connect Cloud

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

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

    Set the URL property to the base SharePoint site or to a sub-site. This allows you to query any lists and other SharePoint entities defined for the site or sub-site.

    The User and Password properties, under the Authentication section, must be set to valid SharePoint user credentials when using SharePoint On-Premise.

    If you are connecting to SharePoint Online, set the SharePointEdition to SHAREPOINTONLINE along with the User and Password connection string properties. For more details on connecting to SharePoint Online, see the "Getting Started" chapter of the help documentation

  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 SharePoint data from Google Data Studio.

Visualize Live SharePoint Data in Google Data Studio

The steps below outline connecting to CData Connect Cloud from Google Data Studio to create a new SharePoint 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 Connect Cloud Connector.
  2. Authorize the Connector to connect to an external service (your Connect Cloud instance).
  3. Use your instance name (myinstance in myinstance.cdatacloud.net), username, and password to connect to your Connect Cloud instance.
    • Username: myinstance/username
    • Password: your Connect Cloud password
  4. Select a Database (e.g. SharePoint1) and click Next.
  5. Select a Table (e.g. MyCustomList) 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 Connect Cloud instance (server address, port, username, and password).

SQL Access to SharePoint Data from Cloud Applications

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

Try CData Connect Cloud and get SQL data access to 200+ SaaS, Big Data, and NoSQL sources directly from your cloud applications.