Integrating CSV Data 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 CSV, you can improve data integration, quality, and governance for your CSV Data. This article shows how you can easily integrate to CSV 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 CSV, which can be downloaded from the CData website.

Connect to CSV 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 CSV data. Click on Next.

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

   Connecting to Local or Cloud-Stored (Box, Google Drive, Amazon S3, SharePoint) CSV Files

   CData Drivers let you work with CSV files stored locally and stored in cloud storage services like Box, Amazon S3, Google Drive, or SharePoint, right where they are.

   Setting connection properties for local files

   Set the URI property to local folder path.

   Setting connection properties for files stored in Amazon S3

   To connect to CSV file(s) within Amazon S3, set the URI property to the URI of the Bucket and Folder where the intended CSV files exist. In addition, at least set these properties:

   • AWSAccessKey: AWS Access Key (username)
   • AWSSecretKey: AWS Secret Key

   Setting connection properties for files stored in Box

   To connect to CSV file(s) within Box, set the URI property to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect to Box.

   Dropbox

   To connect to CSV file(s) within Dropbox, set the URI proprerty to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect to Dropbox. Either User Account or Service Account can be used to authenticate.

   SharePoint Online (SOAP)

   To connect to CSV file(s) within SharePoint with SOAP Schema, set the URI proprerty to the URI of the document library that includes the intended CSV file. Set User, Password, and StorageBaseURL.

   SharePoint Online REST

   To connect to CSV file(s) within SharePoint with REST Schema, set the URI proprerty to the URI of the document library that includes the intended CSV file. StorageBaseURL is optional. If not set, the driver will use the root drive. OAuth is used to authenticate.

   Google Drive

   To connect to CSV file(s) within Google Drive, set the URI property to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect and set InitiateOAuth to GETANDREFRESH.

   Built-in Connection String Designer

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

   
   java -jar cdata.jdbc.csv.jar
   

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

   

   A typical JDBC URL is below:

   
   jdbc:csv:URI=/PATH/TO/MyCSVFilesFolder;
   

5. Enter the JDBC URL copied from CData JDBC Driver for CSV 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.csv (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 CSV 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 CSV 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 CSV and integrate CSV data into Talend Cloud Data Management Platform. Reach out to our Support Team if you have any questions.