4 Key Terms Used When Developing a Salesforce Test Data Migration Plan

Every once in a while, you have to change your business’ systems. Migrating from the old system to a newer one is always exciting because you will be moving to a better performing system. However, this migration poses a great risk to the data that you have acquired over the years. Loss of data is a major cause for worry for many business owners. For this reason, you have to ensure that you set in place the best data migration strategy.

[easy-tweet tweet=”Migrating from the old system to a newer one is always exciting” hashtags=”cloud, tech, migration”]

Data migration is not as easy as plugging in a flash drive or a memory card to your computer and transferring to another one. It is a time-consuming process and one that will require serious planning. It is nonetheless one of the most beneficial tasks for all businesses. You will be upgrading to better data management practices and better-performing systems. In order to conduct the whole process, you will need the services of a data migration expert and your database administrator’s assistance. You also need to understand what is meant by the following terms.

Legacy data

Legacy data is simply the data that you want to move to another system. It goes without saying that the source of this data is the legacy system. It includes the information that is currently recorded in your storage system. This could be anything from scanned images and paper documents to database records, text files, and spreadsheets. All these formats of data can be shifted to another system.


This is a tool that is used to move the data from the legacy system to the new system. Flosum is one of the best data migration tools that you will find in the market today. You can access it at http://www.flosum.com/salesforce-data-migrator/ and it will help your data migration process by simplifying it. This migrator works with just about all methods that you might want to apply in the data migration process.

Data migration

This is the process of exporting the legacy data to the target system through the data migrator. It can be done manually or be automated. The specific method that you decide to use for the data migration process is totally dependent on the systems that you will be using as well as the nature and state of the data that will be migrated.

Data cleansing

Cleansing of data must be done before you begin the migration process. It is all about the preparation of the legacy data for the migration to the new system. This is done because there is a disparity between the architecture of the legacy system and the target system. Often, the legacy data will not meet the criteria that are set by the target system. Data cleansing, therefore, manipulates the legacy data so that it will meet the requirements of the new system.

[easy-tweet tweet=”Cleansing of data must be done before you begin the migration process.” hashtags=”migration, tech, cloud”]

The bottom line here is that if you understand the basics of data migration, you will have a really easy time finishing the whole job. These above-mentioned terms are among the foundational features of every data migration project. A good comprehension of them will help a lot as you plan the data migration project.


+ posts

Meet Stella


Related articles

How to add AI to your cybersecurity toolkit 

A successful implementation of AI in cyber defense requires a solid data governance system, reimagined incident response frameworks, sufficient talent and expertise to manage the new system, and established documentation practices.

The Metaverse: Virtually a reality?

Metaverses have the potential to enable virtual worlds to expand beyond the gaming genre to encompass all manner of social and commercial activities.

Cybersecurity and Cloud: A Look Back at 2022 and What to Expect in 2023

Businesses are continuously reassessing their resources and options to fill their tech stack. In this competitive digital landscape, the innovative use of technology will be something that would generate a competitive advantage for organisations.

Shopping for Data: Ensuring a seamless user experience 

This combination can drive a business’s data culture and provide a structured approach for businesses to benefit from data intelligence across their operations, with only a few clicks.

Unveiling the Top 10 Cybersecurity Threats to Watch Out for in 2023

As technology advances, so do cybercriminals' methods to gain unauthorised access to sensitive information. With the increasing reliance on technology in both personal and professional settings, it is crucial to stay informed about the top cybersecurity threats to watch out for in 2023.

Subscribe to our Newsletter