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URL: https://www.cdata.com/kb/tech/snowflake-jdbc-talend.rst

⇱ Integrating Snowflake Data in Talend Cloud Data Management Platform


Integrating Snowflake Data in Talend Cloud Data Management Platform

πŸ‘ Dibyendu Datta
Dibyendu Datta
Lead Technology Evangelist
Connect Snowflake Data with Talend Cloud Data Management Platform using the CData JDBC Driver for Snowflake.

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 Snowflake, you can improve data integration, quality, and governance for your Snowflake Data. This article shows how you can easily integrate to Snowflake using a CData JDBC Driver in Talend Cloud Data Management, and then view the data for simultaneous use in your workflow.

About Snowflake Data Integration

CData simplifies access and integration of live Snowflake data. Our customers leverage CData connectivity to:

  • Reads and write Snowflake data quickly and efficiently.
  • Dynamically obtain metadata for the specified Warehouse, Database, and Schema.
  • Authenticate in a variety of ways, including OAuth, OKTA, Azure AD, Azure Managed Service Identity, PingFederate, private key, and more.

Many CData users use CData solutions to access Snowflake from their preferred tools and applications, and replicate data from their disparate systems into Snowflake for comprehensive warehousing and analytics.

For more information on integrating Snowflake with CData solutions, refer to our blog: https://www.cdata.com/blog/snowflake-integrations.


Getting Started


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 Snowflake, which can be downloaded from the CData website.

Connect to Snowflake 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. πŸ‘ Log into Talend Cloud Data Management Platform locally
  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. πŸ‘ Manage a connection.
    πŸ‘ Create a connection in Talend Data Management Cloud
  3. Now, select the Create a new project radio button to add a new project name and click on Create. πŸ‘ Create a new project.
  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. πŸ‘ Open the Talend Cloud Data Management Platform workspace.

Create a new connection

  1. In the navigation pane, locate and expand the Metadata dropdown. Right-click on Db Connections and select Create Connection. πŸ‘ Create a new connection in the Talend platform under Db connections.
  2. Search for and select 'JDBC' in the Find section of the Database Connection window. Then, click on Finish. πŸ‘ Search and select the JDBC connector.
  3. Enter the Name, Purpose and Description of the new database in Talend where you need to load the Snowflake data. Click on Next. πŸ‘ Enter details of the database toload the source data.
  4. Generate a JDBC URL for connecting to Snowflake, beginning with jdbc:snowflake: followed by a series of semicolon-separated connection string properties.

    To connect to Snowflake:

    1. Set User and Password to your Snowflake credentials and set the AuthScheme property to PASSWORD or OKTA.
    2. Set URL to the URL of the Snowflake instance (i.e.: https://myaccount.snowflakecomputing.com).
    3. Set Warehouse to the Snowflake warehouse.
    4. (Optional) Set Account to your Snowflake account if your URL does not conform to the format above.
    5. (Optional) Set Database and Schema to restrict the tables and views exposed.
    6. (Optional) If MFA is enabled on your Snowflake account (via Duo Security), set MFACode to the passcode generated by your Duo authenticator app.

    See the Getting Started guide in the CData driver documentation for more information.

    Built-in Connection String Designer

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

    java -jar cdata.jdbc.snowflake.jar
    

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

    πŸ‘ Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)

    A typical JDBC URL is below:

    jdbc:snowflake:Authscheme=Password;URL=https://myaccount.snowflakecomputing.com;User=Admin;Password=test123;Server=localhost;Database=Northwind;Warehouse=TestWarehouse;Account=Tester1;MFACode=YourMFACode
    
  5. Enter the JDBC URL copied from CData JDBC Driver for Snowflake in Edit new database. πŸ‘ Enter the JDBC URL (Salesforce is shown).

  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. πŸ‘ Add a new line in Drivers board to add the path to the Snowflake JAR file (Salesforce is shown).
    πŸ‘ The lib folder which contains the Snowflake JAR file (Salesforce is shown).
    πŸ‘ Add the JAR installation path in 'Install a new module' (Salesforce is shown).
  7. Select the Driver Class as cdata.jdbc.snowflake (JAR file obtained from your installation directory given in the previous step). πŸ‘ Add the Driver class.

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". πŸ‘ Check the connection.
  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. πŸ‘ Retrieve schema from the datasource.
    πŸ‘ Add the necessary filters.
  3. Expand the "CData" catalog in the Schema window and select the tables you want to import from the Snowflake schema. Click on Next. πŸ‘ Select a table from the Snowflake schema.
  4. In the next step, select the columns you want to view from the table and click on Finish. πŸ‘ Select the necessary columns from the selected table.
  5. All the selected tables from the Snowflake 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. πŸ‘ Click on Data Viewer to view the source data.
    πŸ‘ Display the source table view.

Get Started Today

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

Ready to get started?

Download a free trial of the Snowflake Driver to get started:

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