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          • Customer accounts
            • Step 1: Create the Customers Entity
            • Step 2: Create the API
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            • Step 1: Create the Activities entity
            • Step 2: Create a “1 to Many” relation
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          • Step 1: Create the API
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      • Introduction to ETL pipeline
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        • Exercise 1: Skip Customer records
          • Step 1: Create the ETL pipeline
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        • Exercise 2: ETL pipeline, CSV source & FTP Connector
        • Exercise 3: ETL pipeline, Database Source & MySQL Connector
        • Exercise 4: ETL pipeline, CSV Source & FTP Connector using Sections
          • Step 1: Create the ETL pipeline
          • Step 2: Reformat the Join_Date Values and define added fields
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        • Exercise: Customer Anniversary Email Activity
          • Step 1: Check if the join date matches the current date
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          • Step 1: Create the Flow component
          • Step 2: Create the Flow
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        • Exercise 2: Store list of customers
          • Step 1: Create the Flow component
          • Step 2: Create the Flow
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      • Google Drive connector
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        • Using Google Drive connector in ETL pipeline
          • Specifying file or folder paths
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          • Google Drive connector as a source
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      • AWS connector
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          • Specifying paths
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      • OneDrive connector
        • Set up OneDrive Connector
        • Setting up Microsoft Azure Account
        • Add URL to Authorized Redirect URLs
        • User Consent for Establishing OneDrive Connection
        • Usage of OneDrive Connector in ETL pipeline
          • Examples
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      • Dropbox connector
        • Set up Dropbox Connector
        • Setting up Dropbox Account
        • Add URL to Authorized Redirect URLs
        • User Consent for Establishing Dropbox Connection
        • Usage of Dropbox connector in ETL pipeline
          • Dropbox connector path settings
          • Examples
            • Dropbox connector as a source
            • Dropbox connector as destination
  • 🗃️Use Cases (Coming soon)
    • Use Case 1
    • Use Case 2
    • Use Case 3
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  3. Introduction to ETL pipeline

Create an ETL pipeline

PreviousIntroduction to ETL pipelineNextData Formats in ETL pipeline

Last updated 2 years ago

To create an ETL pipeline, follow the steps below.

  • To go to the ETL pipeline template, select the "ETL pipeline" under the Data management menu.

  • On the Data management>ETL pipeline page, click the [+ ETL pipeline] button.

  • The ETL pipeline page displays with the Details tab preselected. The Details tab contains the details about the ETL pipeline and the data to be exchanged.

  • To name the ETL pipeline, in the Details tab, enter a unique ETL pipeline name.

  • Optionally enter a description for the ETL pipeline.

  • The Execution Log Entity is the Entity where the logs of the execution details will be stored. The format for this log entity is predefined and cannot be edited. Users can create a new Entity or select an existing entity from the drop-down menu.

  • To select an execution log, select the log from the list of values in the Details tab.

  • To create an execution log, in the Details tab:

    • Click the [+] button.

    • Enter execution log name.

    • To save the execution log, click the [Save] button.

  • The Data source section defines the details necessary for the Langstack application to connect to the data source. This is the location from where the data is read. The data source can be an Entity or a Connector.

  • To define the data source as an Entity, under the Details>Data source>Entity tab, select the required Entity from the list of values.

  • To select an existing Connector, under the Details>Data source>Connector tab, select the required connector from the list.

  • The Data destination section defines the details necessary for the Langstack system to connect to the data destination. The data destination can be an Entity or a Connector.

  • To define the data destination as an Entity, under the Details>Data destination>Entity tab, select the required Entity from the list of values.

  • To select an existing Connector, under the Details>Data destination>Connector tab, select the required Connector from the list.

  • To align the Data source and Data destination fields, define the relevant settings in the Data Format tab as needed.

  • To save the ETL pipeline, click the [Save] button.

To define a new Connector, click the [+] button under Data Source>Connector tab and enter the relevant details. ()

To define a new Connector, click the [+] button under Data destination>Connector tab and enter the relevant details. ()

For settings related to multiple executions, time duration settings, Linked App, and Execution Status sections, .

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