Proceeding with a data center migration in 2019 could result in a major undertaking. Fortunately, preparedness is a primary factor that helps things go more smoothly.
Here are five considerations for business owners and IT staff members as they prepare to make a move:
The first thing for people to keep in mind is that many actions could encompass a data migration. In the simplest terms, data migration is the movement of electronically stored information.
One of the most common kinds is moving data to a cloud environment for the first time or switching to another provider. People may also transfer data to a new file type or system, especially during upgrades.
Companies frequently migrate their data when they realize a current cloud provider isn't meeting needs, or there is a buyout or merger on the horizon. Those are just a few reasons why businesses might decide they need to progress with data migration.
Several possibilities exist for companies assessing the best options for moving their information. They might use import and export tools. Those allow exporting data to a neutral format and uploading it somewhere else. Alternatively, instead of doing that process through a user interface, the people handling a data migration may use database scripts.
Otherwise, there are extract, transform, load (ETL) tools. They provide migration support, ideally for large collections of data. Many ETL options can connect to multiple sources and automate some of the steps. Finally, some data integration tools have components that support initial migrations.
Picking the most appropriate choice to use is an essential part of well-planned data migration.
Some companies want to begin a data migration without making any preliminary considerations. However, it's much less risky to have a thorough data migration checklist that begins with a premigration assessment. That segment involves going through an impact evaluation to measure a project's viability. The assessment should also include information about costs and necessary resources.
Taking the time to do a premigration assessment could allow businesses to steer clear of issues. This phase of the project may also make it apparent that outside help is necessary to carry out the data migration.
Companies may be overly confident about their abilities to have trouble-free migrations. Even if a business has an exceptionally experienced team and a firm grasp of the steps to take, pitfalls could still arise. For example, migrations could become problematic if enterprises don't establish a data governance body early in the process and clarify the role each person in that group plays.
A company that's going with an iterative approach may not keep previous versions of a system, making it impossible to refer to that earlier version when needed.
It's also possible that things could go wrong if a company doesn't properly vet the capabilities of its outsourced team members. Then, people that seemed adept at the start may prove their knowledge falls too short of the mark.
Data migration may also be destined for failure if the people working on it don't test anything until the end. In the best-case scenario, testing should happen throughout the migration. If it doesn't, late-stage testers may discover severe problems that testing may have uncovered sooner.
Data migration can sometimes make it so file permissions and security settings don't stay intact. Then, the information may be more vulnerable to attacks or unauthorized access.
Although some file migration tools keep security specifics intact, that's not the case with all of them. Instead of making assumptions, company representatives should get clarification from vendors or other entities assisting with the migration.
In the case of a company helping a client move to the cloud, a conversation about what's ahead should cover numerous factors that could affect security.
For example, some cloud environments don't have the same security options as on-premise servers. Also, the service level agreements (SLAs) should offer transparency in the responsibilities the vendor has for keeping the migrated data secure.
Like almost anything else, data migration can fail if businesses don't evaluate the large and small aspects of it.
As such, companies should avoid making hasty decisions that don't involve thinking about the necessities to facilitate the process and get the business ready for the future.
Kayla Matthews writes about data centers and big data for several industry publications, including The Data Center Journal, Data Center Frontier and insideBIGDATA. To read more posts from Kayla, you can follower her personal tech blog at ProductivityBytes.com.