DataStage. DataStage (DS) is the industry standard ETL (Extract, Transform, and Load) tool. It has been rewritten to fit into IBM's cloud environment, as part of IBM Cloud Pak for Data.
Understand the Transformation Types and Job Configurations as this technical walk through shows how to transform data in Data Stage with Transformer Stage.
In this article, we are just going to focus on using loops for tables. Say that you have 20 or more tables of data that you need copied from a source database to a destination database on a daily or weekly basis.
We discuss all the best tips for a better code review: How to Review, How to Code in Prep for Review, and how to create a Coding Governance plan to create consistency across all teams.
There are four types of Code Reviews: Instant, Asynchronous, Synchronous, or Team Review. Each has their advantages and disadvantages. You need to find one that works best for your team dynamic.
In the Development process going back to fix bugs can be expensive and time consuming. We discuss how to make a Code Review Guideline for your Development Teams for cleaner and high quality code.
Today we discuss how to use Shell Scripting within DataStage by listing possible uses and giving a walkthrough example of an Unzip Script within DataStage
Data should be consistent and complete, with primary keys defined. If we are unable to correct at the source (not able to change the source data), we must take measures to ensure integrity during the ingestion.