What is Patching?
Patching refers to identifying, testing, deploying, and installing computer software patches (or updates). Different types of patching include Security patches, Bug fix patches, and Feature update patches.

What is Data Patching?
Data patching involves making updates to the data stored in a database. These updates are made for various purposes, such as correcting errors, introducing new features, or enhancing overall performance.

Data patching is vital to data maintenance but can be time-consuming and complex. When not carried out correctly, it can lead to data loss. Therefore, thoroughly understanding the database is essential before undertaking any patching tasks.

There are two primary types of data patching:

1. Full data patching includes all modifications made to a database since its last complete patch.
2. Differential data patching includes changes made since the last differential patch. It's mainly used for smaller datasets that undergo frequent updates.

Benefits of Data Patching

Regularly updating your data through patches offers several advantages:

1. Enhanced Data Accuracy: Data patching allows you to correct errors promptly, keeping your database up-to-date and error-free.
2. Improved Database Performance: New features added during patches enhance the database's functionality, making it easier for users to access information.
3. Introduction of New Features: Data patching adds new features, making the database more helpful and encouraging continued use.