Integrating JSON Services in Talend Cloud Data Management Platform

Qlik's Talend Cloud Data Management Platform supports various data environments, enabling analytics for smarter decisions, operational data sharing, data and application modernization, and establishing data excellence for risk reduction. When paired with the CData JDBC Driver for JSON, you can improve data integration, quality, and governance for your JSON Services. This article shows how you can easily integrate to JSON using a CData JDBC Driver in Talend Cloud Data Management, and then view the data for simultaneous use in your workflow.

Prerequisites

Before connecting the CData JDBC Driver to view and work with your data in Talend Cloud Data Management Platform, make sure to download and install the latest version of Talend Studio on your system. Also, ensure that you have the required prerequisites.

1. A Talend Cloud Data Management account with appropriate permissions.
2. The CData JDBC Driver for JSON, which can be downloaded from the CData website.

Connect to JSON in Talend as a JDBC data source

Access Talend Data Management Cloud

1. Run the Talend Cloud Data Management Platform installed on your local system and click on Other Login Mode.
2. Click on Manage Connections. Set Repository to "Local" and enter the Name, Description and User E-mail in the respective spaces. Set the Workspace path and click on OK.
3. Now, select the Create a new project radio button to add a new project name and click on Create.
4. The new project should appear under the Select an existing project section. Click on Open. The Talend Cloud Data Management Platform workspace opens up.

Create a new connection

1. In the navigation pane, locate and expand the Metadata dropdown. Right-click on Db Connections and select Create Connection.
2. Search for and select 'JDBC' in the Find section of the Database Connection window. Then, click on Finish.
3. Enter the Name, Purpose and Description of the new database in Talend where you need to load the JSON services. Click on Next.

4. Generate a JDBC URL for connecting to JSON, beginning with jdbc:json: followed by a series of semicolon-separated connection string properties.

   See the Getting Started chapter in the data provider documentation to authenticate to your data source: The data provider models JSON APIs as bidirectional database tables and JSON files as read-only views (local files, files stored on popular cloud services, and FTP servers). The major authentication schemes are supported, including HTTP Basic, Digest, NTLM, OAuth, and FTP. See the Getting Started chapter in the data provider documentation for authentication guides.

   After setting the URI and providing any authentication values, set DataModel to more closely match the data representation to the structure of your data.

   The DataModel property is the controlling property over how your data is represented into tables and toggles the following basic configurations.

   • Document (default): Model a top-level, document view of your JSON data. The data provider returns nested elements as aggregates of data.
   • FlattenedDocuments: Implicitly join nested documents and their parents into a single table.
   • Relational: Return individual, related tables from hierarchical data. The tables contain a primary key and a foreign key that links to the parent document.

   See the Modeling JSON Data chapter for more information on configuring the relational representation. You will also find the sample data used in the following examples. The data includes entries for people, the cars they own, and various maintenance services performed on those cars.

   Built-in Connection String Designer

   For assistance in constructing the JDBC URL, use the connection string designer built into the JSON JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

   java -jar cdata.jdbc.json.jar

   Fill in the connection properties and copy the connection string to the clipboard.

   A typical JDBC URL is below:

   jdbc:json:URI=C:/people.json;DataModel=Relational;

5. Enter the JDBC URL copied from CData JDBC Driver for JSON in Edit new database.

6. Click on the "(+) Add" button under Drivers. A 'newLine' will appear in the Drivers board. Click on (...) at the end of the new line, select the Install a new module radio button, and click on (...) to add the path to the JAR file, located in the 'lib' subfolder of the installation directory. Click on OK.
7. Select the Driver Class as cdata.jdbc.json (JAR file obtained from your installation directory given in the previous step).

Test the new connection

1. Click on Check Connection. If the entered details are correct, a "Connection successful" confirmation prompt will appear. Click on "OK" and "Finish".
2. Once the connection is established, right-click on the newly created connection and select Retrieve Schema. You can use the filters as well to retrieve the data as per your requirements. Click on Next.
3. Expand the "CData" catalog in the Schema window and select the tables you want to import from the JSON schema. Click on Next.
4. In the next step, select the columns you want to view from the table and click on Finish.
5. All the selected tables from the JSON schema are now populated under the Table Schemas section of the JDBC connection.
6. Right-click on any of the selected tables and click on Data Viewer to preview the data from the data source.

Get Started Today

Download a free, 30-day trial of the CData JDBC Driver for JSON and integrate JSON data into Talend Cloud Data Management Platform. Reach out to our Support Team if you have any questions.