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Informatica provides a powerful, elegant means of transporting and transforming your data. By utilizing the CData JDBC driver for Zoom, you are gaining access to a driver based on industry-proven standards that integrates seamlessly with Informatica's Enterprise Data Catalog. This tutorial shows how to classify and organize Zoom data across any environment.
To load the JDBC Driver:
$ java -jar setup.jar
$ cd ~/cdata-jdbc-driver-for-api/lib $ zip genericJDBC.zip cdata.jdbc.api.jar cdata.jdbc.api.lic
# mv genericJDBC.zip /opt/informatica/services/CatalogService/ScannerBinaries
# cd /opt/informatica/services/CatalogService/ScannerBinaries/CustomDeployer/ # nano scannerDeployer.xml
After unpacking the existing ExecutionContextProperty nodes, add a new ExecutionContextProperty node with this content.
<ExecutionContextProperty isLocationProperty="true" dependencyToUnpack="genericJDBC.zip"> <PropertyName>JDBCScanner_DriverLocation</PropertyName> <PropertyValue>scanner_miti/genericJDBC/Drivers</PropertyValue> </ExecutionContextProperty>
To configure the JDBC resource:
Start by setting the Profile connection property to the location of the Zoom Profile on disk (e.g. C:\profiles\Zoom.apip). Next, set the ProfileSettings connection property to the connection string for Zoom (see below).
To authenticate to Zoom, you can use the OAuth standard to connect to your own data or to allow other users to connect to their data.
First create an OAuth app. To do so, navigate to https://marketplace.zoom.us/develop/create and click Create under the OAuth section. Select whether or not the app will be for individual users or for the entire account, and uncheck the box to publish the app. Give the app a name and click Create. You will then be given your Client Secret and Client ID
After setting the following connection properties, you are ready to connect:
For assistance in constructing the JDBC URL, use the connection string designer built into the Zoom JDBC Driver. Either double-click the .jar file or execute the .jar file from the command-line.
java -jar cdata.jdbc.api.jar
Fill in the connection properties and copy the connection string to the clipboard.
๐ Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.
Typical additional connection string properties follow:
JDBC;MSTR_JDBC_JAR_FOLDER=PATH\TO\JAR\;DRIVER=cdata.jdbc.api.APIDriver;URL={jdbc:api:Profile=C:\profiles\Zoom.apip;Authscheme=OAuth;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackUrl=your_callback_url;};
Note that the Username and Password properties are required, even if the driver you are using does not require them. In those cases, you can enter a placeholder value instead.
๐ Add a new JDBC resource (Couchbase is shown).Other metadata scanners may be enabled as desired.
When the scan is complete, a summary of all of the metadata objects is displayed along with the status of the Metadata Load job. If any errors occur, you can open the Log Location link for the job to see the errors reported by Informatica or the driver.
๐ Perform a metadata scan (Couchbase is shown).Open the Catalog Service browser to view the metadata extracted from the data source. Depending upon the options you selected when configuring the metadata scanner, you may see any combination of tables, views, and stored procedures for the resource you defined.
๐ Validate the discovered metadata (Couchbase is shown).Connect to live data from Zoom with the API Driver
Connect to Zoom