DataStage is an ETL (Extract, Transform, and Load) tool. It’s a graphical notation that’s used to build/construct data integration solutions.
A data stage is a tool for designing, developing, and executing several applications to fill multiple tables in a data warehouse or data mart.
Many new stages, such as Procedure Stage, Command Stage, Generate Report, and others, have been added to Datastage 7.5.
The Funnel stage is a stage in processing. Multiple input data sets are copied to a single output data set.
Routines are a collection of functions that the DS manager defines. It can be accessed through the transformer stage.
The Integrity stage is also known as the Quality stage. It aids in the integration of numerous types of data from a variety of sources.
Job Control Language is the best way to execute job control (JCL). This tool is used to run numerous jobs at the same time without utilizing a loop.
For this, we can use Oconv (Iconv (Filename, “Existing Date Format”), “Another Date Format”), which is a data conversion function.
It is the environment variable that is utilised in Datastage to identify the *.apt file.
Constraints in the transformer handle the discarded rows in the Datastage.
Datastage jobs, built-in apparatus, and Datastage Designer or User-Defined components are all included in a Datastage project.
Routines of this type can also be developed in DS management and invoked from the transformer stage.