John F. Kennedy once said,

“An error does not become a mistake until you refuse to correct it.”

Software testing is nothing but a way of saving the development errors from becoming the users’ disgust. While developing software, performing software testing is followed like a rule of thumb. It is not any theory that you blindly follow, but more of a principle, based on practice.

Understanding Data Migration and Data Validation: 

Data is a way to understand the whole life cycle of your business. Hence, the importance of data is self-understood. A slight data loss could cause considerable losses in various ways to your business. When you think about data migration, it is transferring of data from one place to another.

Did it look too easy? But it is not!

Data migration occurs as transferring existing data either to a new location, storage, or format. While data validation is making sure that the data is all cleaned, i.e., accurate and useful. The migration of data can take place due to some of the following reasons:

When organizations go through mergers and acquisitions, it requires data migration from one environment to another

If there are any changes or up-gradation to computer systems, it needs data migration.

If there is a shift in the format or when shifting to a cloud storage system, it requires data migration.

Migrating the data involves a complete set of planning for stages like pre-migration, migration, and post-migration. The planning involves making strategies, software testing, analyzing challenges to be faced, overcoming risks, data auditing, and many such activities that will be further explained in this blog.

Importance of Software Testing in Data Migration and Validation: 

As you can well understand, software testing helps overcome any glitches or bugs that may come your way during development. It also helps to analyze and anticipate all the challenges in advance that can affect the data migration process.

Data migration happens due to some of the distinct reasons mentioned above, and to ensure that all the data is migrated smoothly, software testing should occur.

Following are the reasons to consider for data migration and validation testing during the process:

Data getting transferred to the new system might have some existing defects or bugs that need to be analyzed and removed. Hence, software engineering comes to the rescue!

During migration, it is important to run software testing as it helps to keep a check on technology that can be obsolete and affect the data.

Ensuring that data transmitted is in its original functionality as it was before the migration process.

Transmitted data could be too much and may give rise to flaws, which need to be addressed and solved.

Testing also helps during the migration process by ensuring that the link between server, software, or hardware remains intact and prevents breaking.

Consequently,software quality engineering has been helpful to avoid such situations while carrying out the migration process. Consider software testing as a ticket to your way for a successful data transfer from one location to another. The data migration testing can be automated or manual. However, if you wish to automate your migration, it takes place with the help of an automation tool.

Have you also considered thinking about when you would require software testing for data migration? The answer is that you need software testing at all levels. By that, it means:

-Pre-Migration Testing

-During Migration Testing

-Post-Migration Testing

To understand all the aspects and requirements, you can read through the detailed study for more information.

Checklist to follow during Data Migration Testing: 

Here is a list of activities to do when performing data migration testing. Follow this checklist to ensure a smooth transition of data:

1.       Gather the team experts:

When you see experts, it speaks of the people who hold the right set of knowledge to perform migration testing. Team up the quality engineers for the task and train them about the data migrated.

2.       Analyze the business risks:

Determining and evaluating all the possible business risks that could arrive at the stage of post-migration. Making a list of all expected risks and discuss it with the team to find solutions to such potential problems.

3.       If needed, consider a tool for migration:

As we know, migration can also be automated, therefore consider using the best suited tool as per the data migrated and the end location.

4.       Plan the ‘what’ and ‘how’ of migration testing:

Planning is everything! Plan every detail of testing. That shall include what processes and steps to be followed and all expected results and outcomes that are to be considered. Also, considering the historical data getting migrated, plan how the process should occur so that it does not hamper the originality and functionality of the data.

5.       Document migration testing specifications:

When performing migration testing, you should consider documenting the specific details of the same. It should include all the details of the methods used, outcomes, number of test cycles, time elapsed, and the test environment.

Consider this strategic approach for integrating software quality engineering into data migration and validation and save your data from disruption.

Challenging Scenarios in Data Migration Testing: 

Software testing is crucial while migrating any data, but that does not mean it comes without challenges. Hence, to make sure that you are aware of some of those alarming situations which can occur during the process, follow the below-mentioned challenges:

1.       Loss of data:

You may lose some critical data when you plan to shift it from one location to another. As such, a situation can occur in different environments. Losing data is not a delightful experience for any business. However, you can still be prepared and consider different solutions to cope with such an issue.

2.       Hampered data quality:

We all know what quality means to every aspect of the business. Hence, getting the data quality hampered can be alarming. In contrast, it could also result in some heavy pecuniary loss to recover the quality.

3.       Unmatched Data:

When the data gets to its latest version or location, it is possible to find that it does not match the legacy data. This can happen as the data is transferred in a new format or to a new storage pattern. However, you can either tweak it or accept the latest version of the same data.

4.       A heavy volume of data:

Another challenge that can occur is the volume of the data migrated. Data can be too heavy and can cause some unavoidable challenges for the team as it may take more than the expected timeframe for migration and hamper the business.

In the End: 

Data is a crucial part of any business, and getting it affected in any format can be a nightmare for many. Data should always be kept in the right place and the correct format. Hence, if your business requires a data migration, then keep in mind that the process is not an easy one and requires tools, trained resources, and planning. Therefore, to prevent your data migration process from any shortfalls, plan it strategically and analytically.

Consider performing software testing at all levels, from pre to post. Contemplate onboarding a software quality engineering team to help you with a smooth data migration and software testing, keeping your data’s standards and quality intact.  


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