How to connect Amazon QuickSight to Google Calendar Data

Amazon QuickSight allows users to build interactive dashboards in the cloud. When paired with CData Connect Cloud, you get cloud-to-cloud access to Google Calendar data for visualizations, dashboards, and more. This article shows how to connect to Google Calendar in Connect Cloud and build dashboards in Amazon QuickSight with access to Google Calendar data.

CData Connect Cloud provides a pure cloud-to-cloud interface for Google Calendar, allowing you to allowing build visualizations from Google Calendar data in Amazon QuickSight. By importing your Google Calendar data into the Amazon QuickSight "Super-fast, Parallel, In-memory Calculation Engine" (SPICE), you can leverage the powerful data processing features of the Amazon ecosystem to build responsive dashboards. And with the ability to schedule refreshes of the data stored in SPICE, you control how up-to-date your dashboards are.

Configure Google Calendar Connectivity for Amazon QuickSight

Connectivity to Google Calendar from Amazon QuickSight is made possible through CData Connect Cloud. To work with Google Calendar data from Amazon QuickSight, we start by creating and configuring a Google Calendar connection.

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

   You can connect to Google APIs on behalf of individual users or on behalf of a domain. Google uses the OAuth authentication standard. See the "Getting Started" section of the help documentation for a guide.

4. Click Create & Test
5. Navigate to the Permissions tab in the Add Google Calendar 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 Google Calendar data from Amazon QuickSight.

Import Google Calendar Data into SPICE and Create Interactive Dashboards

The steps below outline creating a new data set based on the connection to Google Calendar in Connect Cloud, importing the dataset into SPICE, and building a simple visualization from the data.

1. Log into Amazon QuickSight and click "Manage data."
2. Click "Now data set," select SQL Server as the data source, configure the connection to your Connect Cloud instance, and click "Create data source."
3. Select a table to visualize (or subait a custom SQL query for your data).
4. Click "Edit/Preview data" to customize the data set.
5. Select "Import to SPICE for quicker analytics" and click "Visualize."
6. Select fields to visualize and a visual type.

Schedule Refreshes for SPICE Data Sets

QuickSight users can schedule refreshes for data sets that are imported into SPICE, ensuring that data being analyzed is only as old as the most recent refresh.

1. Navigate to the QuickSight home page.
2. Click "Manage data."
3. Select the data set you wish to refresh.
4. Click "Schedule refresh."
5. Click Create, configure the refresh settings (time zone, repeat frequency, and starting datetime), and click Create.

Live Access to Google Calendar Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to Google Calendar data from your Amazon QuickSight dashboard. You can create new visualizations, build interactive dashboards, and more. For more information on gaining live access to data from more than 100 SaaS, Big Data, and NoSQL sources from cloud applications like Amazon QuickSight, refer to our Connect Cloud page.