Automated Continuous Calendly Replication to Amazon S3

Always-on applications rely on automatic failover capabilities and real-time data access. CData Sync integrates live Calendly data into your Amazon S3 instance, allowing you to consolidate all of your data into a single location for archiving, reporting, analytics, machine learning, artificial intelligence and more.

Configure Amazon S3 as a Replication Destination

Using CData Sync, you can replicate Calendly data to Amazon S3. To add a replication destination, navigate to the Connections tab.

1. Click Add Connection. 👁 Add a new connection.
   
2. Select the Destinations tab and locate the Amazon S3 connector. 👁 Configure a Destination connection to Amazon S3.
   
3. Click the Configure Connection icon at the end of that row to open the New Connection page. If the Configure Connection icon is not available, click the Download Connector icon to install the Amazon S3 connector. For more information about installing new connectors, see Connections in the Help documentation.

4. To connect to Amazon S3, provide the credentials for an administrator account or for an IAM user with custom permissions: Set AccessKey to the access key ID. Set SecretKey to the secret access key.

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

   To obtain the credentials for an IAM user, follow the steps below:

   1. Sign into the IAM console.
   2. In the navigation pane, select Users.
   3. To create or manage the access keys for a user, select the user and then select the Security Credentials tab.

   To obtain the credentials for your AWS root account, follow the steps below:

   1. Sign into the AWS Management console with the credentials for your root account.
   2. Select your account name or number and select My Security Credentials in the menu that is displayed.
   3. Click Continue to Security Credentials and expand the Access Keys section to manage or create root account access keys.
👁 Enter the connection details.

5. Once connected, click Create & Test to create, test and save the connection.

You are now connected to Amazon S3 and can use it as both a source and a destination.

NOTE: You can use the Label feature to add a label for a source or a destination.

👁 Add a label.

In this article, we will demonstrate how to load Calendly data into Amazon S3 and utilize it as a destination.

Configure the Calendly Connection

You can configure a connection to Calendly from the Connections tab. To add a connection to your Calendly account, navigate to the Connections tab.

1. Click Add Connection.
2. Select a source (Calendly).
3. Configure the connection properties.
   
   

   Set the ProfileSettings connection property to the connection string for Calendly (see below).

   Calendly API Profile Settings

   To authenticate to Calendly, provide an API Key. The Calendly API Key, can be found in your Calendly account, under 'Integrations' > 'API & Webhooks' > 'Generate New Token'. Set the APIKey in the ProfileSettings connection property (e.g. "APIKey=your_api_token"). 👁 Configuring a Source connection (Salesforce is shown).
   

4. Click Connect to Calendly to ensure that the connection is configured properly.
5. Click Save & Test to save the changes.

Configure Replication Queries

CData Sync enables you to control replication with a point-and-click interface and with SQL queries. For each replication you wish to configure, navigate to the Jobs tab and click Add Job. Select the Source and Destination for your replication.

👁 Select Source and Destination connections for the replication.

Replicate Entire Tables

To replicate an entire table, navigate to the Task tab in the Job, click Add Tasks, choose the table(s) from the list of Calendly tables you wish to replicate into Amazon S3, and click Add Tasks again.

👁 Choose entire tables to replicate (Salesforce is shown).

Customize Your Replication

You can use the Columns and Query tabs of a task to customize your replication. The Columns tab allows you to specify which columns to replicate, rename the columns at the destination, and even perform operations on the source data before replicating. The Query tab allows you to add filters, grouping, and sorting to the replication with the help of SQL queries. 👁 Configure a replication Transform.

Schedule Your Replication

Select the Overview tab in the Job, and click Configure under Schedule. You can schedule a job to run automatically by configuring it to run at specified intervals, ranging from once every 10 minutes to once every month.

👁 Schedule your job to run automatically.

Once you have configured the replication job, click Save Changes. You can configure any number of jobs to manage the replication of your Calendly data to Amazon S3.

Run the Replication Job

Once all the required configurations are made for the job, select the Calendly table you wish to replicate and click Run. After the replication completes successfully, a notification appears, showing the time taken to run the job and the number of rows replicated.

👁 Run the job.

Free Trial & More Information

Now that you have seen how to replicate Calendly data into Amazon S3, visit our CData Sync page to explore more about CData Sync and download a free 30-day trial. Start consolidating your enterprise data today!

As always, our world-class Support Team is ready to answer any questions you may have.