Data Import, Export and Transformation

To import or export data with the ability to set up links between providers and consumers, and also set up intermediate data transformations, use the ETL Task tool:

ETL (Extract, Transform, Load) is one of the key processes in data warehouse management. ETL is used for:

Key features:

General description of ETL task work:

  1. Data from providers is loaded to ETL task input. The number of providers is not limited.

  2. Data from data provider outputs is loaded to data transformers inputs.

  3. After the transformation data from data transformer outputs is loaded to data consumer inputs.

  4. Data from data consumer outputs is loaded to external or internal formats.

To work with the ETL Task tool, the feature PP_ETL will be required.

To get started with the tool, see the Getting Started with the ETL Tool article.

To build a data import/export/transformation schema, see the Building ETL Task article.

To execute an ETL task, see the Executing ETL Task article.

ETL Task Features in Desktop and Web Application

ETL tasks are available only in the view mode in the web application. This mode is used to view previously created and debugged data loading and transformation schemas. Only the desktop application provides a possibility to create and edit a task.

Feature Desktop application Web application
Creating a new ETL task and objects in ETL task
Editing ETL task
Viewing ETL task
Viewing data of the object to which connector is set up
Viewing connector properties
Setting up connector formatting
Zooming
Changing work modes with objects
Executing ETL task

Conventions:

- feature is fully available.

- feature is not available.

- feature is limited.

See also:

Getting Started with the ETL Task Tool | Building ETL Task | Executing ETL Task