Blogger Tiana Warner just posted a new article to the FME Blog.
Title: 4 methods for tracking data changes in FME
Summary: Learn how to track data changes in FME using four powerful methods, including timestamps, database triggers, and change data capture (CDC).
Introduction: When managing data, understanding how and why it changes is critical. By detecting changes early and accurately, you can streamline workflows, eliminate tedious manual checks, and focus on the records that matter. Automated change detection allows you to handle large datasets efficiently by processing only updated records, improve real-time responsiveness by reacting immediately to new changes, minimize data movement to reduce API calls and cloud storage costs, and align with enterprise-level data practices by tapping into existing change capture systems.
Would you like to know more? Click here to read this new article!
Question
4 methods for tracking data changes in FME
This post is closed to further activity.
It may be an old question, an answered question, an implemented idea, or a notification-only post.
Please check post dates before relying on any information in a question or answer.
For follow-up or related questions, please post a new question or idea.
If there is a genuine update to be made, please contact us and request that the post is reopened.
It may be an old question, an answered question, an implemented idea, or a notification-only post.
Please check post dates before relying on any information in a question or answer.
For follow-up or related questions, please post a new question or idea.
If there is a genuine update to be made, please contact us and request that the post is reopened.