DataStage Moves to the Cloud
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....
Data & Analytics
David Cross
Data & Analytics
DataStage Data Transformation
Understand the Transformation Types and Job Configurations as this technical walk through shows how to transform data in Data Stage with Transformer Stage....
Data & Analytics
DataStage Looping for Multiple Table Processing
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....
Cloud Development
Performing a Better Code Review
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....
Data & Analytics
4 Different Types of Code Reviews
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....
Cloud Development
Introduction to Code Reviews
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....
Data & Analytics
Using Shell Scripting within DataStage
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...
Cloud Development
Using IBM’s DataStage ETL Tool for Quality Assurance
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....
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