Data migration is the way to transfer files, documents, and other business materials from one location to another. Data migration is generated when organizations want to digitize their information or simply when they change infrastructure and local applications.
The purpose of data storage and migration is that all files are preserved and not lost, even that the budget is not wasted.
It must be taken into account that data migration can be dangerous in some sense, thanks to the severity of the data, this term means that as the flow of data grows, there may be problems such as: attraction of new data that little little by little they grow, the way to store that data over time and others.
What is the implementation process like?
The data must go through a transformation and loading process. Here the data must go through a preparation process and then be located at the desired destination.
Many times data migration must go through a different process depending on the needs of the organization, which include reviewing an entire system, updating databases, creating a new data warehouse, or merging data.
Steps to successfully implement data migration
It is important to make a backup as it is a long process and mishaps can arise along the way.
Understand the quality of your data
It is essential to know the information that the organization has, to discover how confidential the company is, what format they have and to which file they can be transferred while the procedure lasts.
Know your time frame
At a commercial level, it is important to prepare a budget in the period of inactivity of your team, it is important to bear in mind that the migration process can last several days.
Study your work team
It is important to delegate this function to the IT person in your organization, the loss of information can be detrimental to your company, so it is important to have a team dedicated exclusively to this process.
Convert database schema
Heterogeneous data migrations are relatively more complex than with homogeneous data. While heterogeneous migrations can be done manually, it can be time consuming and resource intensive. Although it can be done using the data migration tool with the database schema conversion capability it can help speed up the process.
Testing the migration build
It is important to take an iterative approach to testing your migration build. The data can be profiled before running the full migration process. This will help ensure that all the rules, properties and characteristics of the data are not lost.
Running the migration
When it comes time for action, it is important to take into account weekends and holidays, this in order not to interrupt work. There are tools like Data Synchronization or Change Data Capture (CDC). With these tools you can perform the initial load and then capture any changes that take place during or after the initial load.
Once the data has been moved to the new database successfully, if necessary a withdrawal policy should be developed for the old database. In addition, a system must be established to validate and monitor the quality of the data transferred to the destination database.
Types of data migration
Currently there are various ways to potentiate the sales force of organizations. Since Data migration is ideal to reduce expenses and know how much IT staff can be divided to carry out other types of activities.
It consists of moving existing array data to more modern ones that allows other systems to access them. Facilitates expected data management such as cloning, snapshots, backup, and disaster recovery.
Data migration to the cloud
It consists of moving local data to a cloud or from one cloud to another. In many cases it involves a storage migrations.
It is the process of moving an application program from one environment to another. It can include moving the entire application from a local IT center to a cloud, moving between clouds, or simply moving the underlying data of the application to a new form of the application hosted by a software vendor.
Integration is a fundamental part of any technological transformation process in companies. In Heinsohn, our objective is to search for integration on your ecosystem applications so that you are aligned with your IT strategy. We look for integration standards, IT consolidation, and high performance.