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Concatenating customer names on Marketo and inserting them in a Snowflake table

This scenario aims at helping you set up and use connectors in a pipeline. You are advised to adapt it to your environment and use case.


  1. Click Connections > Add connection.
  2. In the panel that opens, select the type of connection you want to create.


  3. Select your engine in the Engine list.
    Information noteNote:
    • It is recommended to use the Remote Engine Gen2 rather than the Cloud Engine for Design for advanced processing of data.
    • If no Remote Engine Gen2 has been created from Talend Management Console or if it exists but appears as unavailable which means it is not up and running, you will not be able to select a Connection type in the list nor to save the new connection.
    • The list of available connection types depends on the engine you have selected.
  4. Select the type of connection you want to create.
    Here, select Marketo.
  5. Fill in the connection properties to access your Marketo account as described in Marketo properties, check the connection and click ADD DATASET.
  6. In the Add a new dataset panel, name your dataset. In this example, the entity contains customer data collected during a marketing campaign.


    customers on marketo
  7. Fill in the required properties to access the table located in your database and click VIEW SAMPLE to see a preview of your dataset sample.
  8. Click Validate to save your dataset.
  9. Do the same to add the Snowflake database and table that will be used as Destination in your pipeline. Fill in the connection properties as described in Snowflake properties.

    In this example, a Snowflake table named CAMPAIGN_FULLNAMES is used.

  10. Click Add pipeline on the Pipelines page. Your new pipeline opens.
  11. Give the pipeline a meaningful name.


    From Marketo to Snowflake - concatenate & insert
  12. Click ADD SOURCE and select your source dataset, customers on marketo in the panel that opens.
  13. Click to add processors to the pipeline, for example a Python processor to concatenate first names and last names and give them a meaningful name.
  14. Click the ADD DESTINATION item on the pipeline to open the panel allowing to select the Snowflake table in which your output data will be inserted.
  15. Give a meaningful name to the Destination; load in Snowflake for example.
  16. In the Configuration tab of the destination, click Main and select INSERT in the Action list to insert the data into the table when executing the pipeline.
  17. Click Save to save your configuration.
  18. (Optional) Click the last processor to preview the processed data.
  19. On the top toolbar of Talend Cloud Pipeline Designer, click the Run button to open the panel allowing you to select your run profile.
  20. Select your run profile in the list (for more information, see Run profiles), then click Run to run your pipeline.


Your pipeline is being executed, the customer data that was stored on Marketo has been processed and the output flow is inserted into the Snowflake target table you have defined.

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