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 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.

Availability of the ETL Task Functions in Desktop and Web Application

ETL tasks are available only in the web application in the view mode. 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.

Functions 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:

+   function is fully available

― function is not available

•   function use is limited.

See also:

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