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SnapLogic is an integration platform-as-a-service (iPaaS) that allows users to create data integration flows with no code. When paired with the CData JDBC Drivers, users get access to live data from more than 250+ SaaS, Big Data and NoSQL sources, including Google Calendar, in their SnapLogic workflows.
With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Google Calendar data. When platforms issue complex SQL queries to Google Calendar, the driver pushes supported SQL operations, like filters and aggregations, directly to Google Calendar and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying lets you work with Google Calendar data using native data types.
To connect to Google Calendar data in SnapLogic, download and install the CData Google Calendar JDBC Driver. Follow the installation dialog. When the installation is complete, the JAR file can be found in the installation directory (C:/Program Files/CData/CData JDBC Driver for Google Calendars/lib by default).
After installation, upload the JDBC JAR file to a location in SnapLogic (for example, projects/Jerod Johnson) from the Manager tab.
π Uploaded JDBC Driver (Salesforce & QuickBooks Online are shown)Once the JDBC Driver is uploaded, we can create the connection to Google Calendar.
Set JDBC URL to a JDBC connection string for the Google Calendar JDBC Driver, for example:
jdbc:googlecalendar:RTK=XXXXXX;
NOTE: RTK is a trial or full key. Contact our Support team for more information.
π Configuring a connection (Salesforce is shown)
For assistance in constructing the JDBC URL, use the connection string designer built into the Google Calendar JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.googlecalendar.jar
Fill in the connection properties and copy the connection string to the clipboard.
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.
π Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)In the form that opens after validating and applying the connection, configure your query.
Save the Generic JDBC - Select snap.
With connection and query configured, click the end of the snap to preview the data (highlighted below).
π Click the end of the snap to preview the data.Once you confirm the results are what you expect, you can add additional snaps to funnel your Google Calendar data to another endpoint.
π Previewing data (Salesforce is shown).For this article, we will load data in a Google Spreadsheet. You can use any of the supported snaps, or even use a Generic JDBC snap with another CData JDBC Driver, to move data into an external service.
You can now execute the fully configured pipeline to extract data from Google Calendar and push it into a Google Spreadsheet.
π Data written to Google Spreadsheets (Salesforce is shown)As mentioned above, you can also use the JDBC Driver for Google Calendar in SnapLogic to write data to Google Calendar. Start by adding a Generic JDBC - Insert or Generic JDBC - Update snap to the dashboard.
At this point, you have configured a snap to write data to Google Calendar, inserting new records or updating existing ones.
Using the CData JDBC Driver for Google Calendars you can create a pipeline in SnapLogic for integrating Google Calendar data with external services. For more information about connecting to Google Calendar, check at our CData JDBC Driver for Google Calendars page. Download a free, 30 day trial of the CData JDBC Driver for Google Calendars and get started today.
Download a free trial of the Google Calendars Driver to get started:
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π Google Calendars IconAn easy-to-use database-like interface for Java based applications and reporting tools access to live Google Calendars data (Calendars, Events, Attendees, and more).