Most companies need to undergo data migration at some point or the other. It’s usually necessary for shifting data from their existing premise infrastructure to something cloud-based for the betterment of the company.
This is usually done for the increased agility and focus on their business and to reduce running costs by paying for what they require on demand. With so much involved, data migration is not something that can be done overnight.
It is something difficult and risky mainly because of data gravity, which is why it has to be done with the right planning. If you wonder what ‘data gravity’ is, it’s actually a metaphor defining how data has a tendency of attracting more data as it grows. It also defines data integration into a business and how it can also be customized with time.
Why planning is important
Data migration is successful, and possible only by overcoming this data gravity, which is possible by disentangling data and applications. This means that you have to first allot some time to sort out all the data and application complexities. You also have to aim for improved data management and application mobility for easier data migration.
Things get difficult when some similar application logic elements are introduced into the data management level. Besides, data processes also use data in isolation and then give their own formats with the intention of integrating it in the next process.
While data architecture, application, and processes have to respond to each other, one of them usually can’t or won’t change. This is when the administrators have to implement suboptimal designs so that the eventual technical debt is taken care of during data migration. With so much involved in data migration, it’s actually not surprising that it needs to be done with proper planning.
Data migration types
In addition to the planning, it’s also important that you select the right data migration type. There are three main types for you to choose from, based on which type is best for your needs.
The available options are:
1. Storage migration
This involves moving data off the existing arrays into something more modern, and which can be accessed by other systems. This leads to faster performance, cost-effectiveness and enables other data management features like cloning and disaster recovery.
2. Cloud migration
This involves moving data, applications or other business elements either from its existing on-premises data center to a cloud or from one cloud to another. It usually also involves storage migration.
3. Application migration
This involves moving an application program from one environment to another. It may involve shifting an application from an on-premises IT center to a cloud or between clouds or just shifting the application data to a new application form that a software provider like SERTICA hosts.
There is so much involved in data migration, which is why it’s not something to be done in haste. It has to be done with some analytical thinking and comparisons to decide on the best plan for your data migration needs.