This tutorial gives you an overview and talks about the fundamentals of Informatica Data Quality (IDQ).
In Data Quality, a plan is a self-contained set of data analysis or data enhancement processes. A plan is composed of one or more of the following types of component:
If you want to enrich your career and become a professional in Informatica Data Quality, then visit Mindmajix - a global online training platform: "Informatica Data Quality Training" This course will help you to achieve excellence in this domain.
Plans can make use of reference dictionaries to identify, repair, or remove inaccurate or duplicate data values. Informatica Data Quality plans can make use of three types of reference data.
Standard dictionary files: These files are installed with Informatica Data Quality and can be used by several types of components in Workbench. All dictionaries installed with Data Quality are text dictionaries. These are plain-text files saved in . DOC file format. They can be created and edited manually.
Database dictionaries: Informatica Data Quality users with database expertise can create and specify dictionaries that are linked to database tables, and that this can be updated dynamically when the underlying data is updated.
Third-party reference data: These data files are provided by third parties and are provided by Informatica customers as premium product options. The reference data provided by third-party vendors are typically in database format.
For more information about Informatica, please refer to https://www.informatica.com
We have compiled a few more articles to get you acquainted with the Informatica Data Quality course. We will cover these in-depth in our Informatica Data Quality online training sessions.
Stay updated with our newsletter, packed with Tutorials, Interview Questions, How-to's, Tips & Tricks, Latest Trends & Updates, and more ➤ Straight to your inbox!
|Informatica Training||Feb 04 to Feb 19|
|Informatica Training||Feb 07 to Feb 22|
|Informatica Training||Feb 11 to Feb 26|
|Informatica Training||Feb 14 to Mar 01|
Ravindra Savaram is a Content Lead at Mindmajix.com. His passion lies in writing articles on the most popular IT platforms including Machine learning, DevOps, Data Science, Artificial Intelligence, RPA, Deep Learning, and so on. You can stay up to date on all these technologies by following him on LinkedIn and Twitter.
Copyright © 2013 - 2023 MindMajix Technologies