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Create Reports from AWS Management Data in Google Data Studio

Use the CData Cloud Hub to create a virtual MySQL Database for AWS Management 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 AWS Management data for visualizations, dashboards, and more. This article shows how to create a virtual database for AWS Management and build reports from AWS Management data in Google Data Studio.

The CData Cloud Hub provides a pure cloud-to-cloud interface for AWS Management, allowing you to easily build reports from live AWS Management 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 AWS Management, leveraging server-side processing to quickly return AWS Management 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 AWS Management 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 "AWS Management" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to AWS Management.

    To authorize AWSDataManagement requests, provide the credentials for an administrator account or for an IAM user with custom permissions:

    1. Set AccessKey to the access key Id.
    2. Set SecretKey to the secret access key.
    3. Set Region to the region where your AWSDataManagement data is hosted.

    Note: Though you can connect as the AWS account administrator, it is recommended to use IAM user credentials to access AWS services.

  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 AWS Management data from Google Data Studio.

Visualize Live AWS Management Data in Google Data Studio

The steps below outline connecting to the CData Cloud Hub from Google Data Studio to create a new AWS Management 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. AWSDataManagement1) and click Next.
  5. Select a Table (e.g. NorthwingProducts) 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 AWS Management Data from Cloud Applications

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

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