7 Tested Data Migration Best Practices to Follow

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Written By Haissam Abdul Malak

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There are a lot of companies out there who need to migrate their data, but they don’t know what’s the best way to do it, and they have no idea where to start. This article will discuss the most common data migration best practices to follow for seamless procedure.

Data has to be migrated from one environment to the next. This can be a time-consuming, catastrophic, and expensive process. To ensure that the data is migrated in a cost-effective, timely manner, there are several best practices to follow to ensure interrupted environment.

Your data is precious, and you know it. It represents hours and hours of work. But with all the different formats, migrating is not as easy as you might think. Lots of people get lost in the process or are too afraid to pursue it because of possible complications such as data loss or even total system failure.

Data migration best practices are important to follow because they help avoid data loss and ensure that the transition is smooth. These guidelines will help you overcome the challenges related to data migration and implement the perfect strategy.

Let’s get started reviewing guidelines for the perfect data migration.

Why you need data migration guidelines

What are the best practices for data migration?

Data migration is an important part of any business. It is a process that helps in transferring data from one system to another. Data migration best practices are necessary to make sure that the process is done smoothly and without any interruption.

Per Gartner, 83% of data migrations fail or exceed budgets and schedules. That being said, organizations will most probably encounter delays if not planned properly.

The most common data migration best practices are:

1- Understand the data you are migrating

Data quality is fundamental to business success. The first best practice when migrating data is to understand the data you are moving from one system to another. This includes understanding the structure and format of the data and whether or not it contains sensitive information that needs protection.

2- Define a clear strategy

Before you kick start migrating data from one environment to another, you need to ensure to define a clear strategy to follow. You need to consider the following questions:

What is the nature of the data? How much data are you moving? What are your backup and disaster recovery strategies? Are there regulatory restrictions on movement of data from one country to another? How long does it take for a new environment to come online for testing, application documentation, training and other activities like this?

3- Create a backup of your data before you migrate it

The third best practice for data migration is to create a backup of your data before you start. This is an extremely critical step to follow to ensure that whatever wrong happens, you can revert to the latest data set available and avoid interruption.

Without this step, you might risk losing all the data that employees are depending on thus reducing costs and time to recreate the data again.

4- Migrate data in batches

It is an important task that needs to be performed with care. In order to avoid errors and downtime, it’s highly recommended that you migrate data in batches. Migration can take a long time, so batching up the data will prevent any interruption in service.

Once the first batch is successfully migrated and tested, you can move on to the next set and revalidate accordingly.

5- Use the right tools for migration

Migrating from one software platform to another is not easy. It can be time-consuming, expensive or disrupt your business operations. The best way to avoid these problems is to use the right tools for migration.

These tools are available for you to use in order to make the process efficient, fast, and without any interruption. It is considered one of the most critical data migration best practices.

6- Test your migration process

Migration is not a one-time event. It is a continuous process that has many stages and that, even when it is complete, may need to be revisited. The process will always be different based on the source data, the destination data and the range of tasks that need to be done.

During the first batch of data being migrated, try to analyze all the steps and see if the process is completed successfully or it needs to be modified before moving on to the next batch.

7- Test your migrated data thoroughly before using it in production

Your migration is complete and all your data has been migrated to your new database. Now what? Before you deploy this production-level data, it’s a good idea to spend time doing some testing with it.

Part of the migration strategy is to allocate time for testing the new data with real life scenarios before moving it to production in order to validate that all the work done align with the overall plan.

Why Data Migration Best Practices Are Essential

Data migration best practices are essential because they help you move your data from one system to another without any loss of information. This is important for a company’s operations and also for the company’s IT department.

There are many different types of data migrations, and each type has its own set of best practices that need to be followed in order to be successful.

However, in this article, we stated the most common guidelines that you can rely on to perform the procedure with care.

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