Data migration refers to moving data from one location to the other. It’s done when the organization needs to overhaul the system or upgrade the existing databases for effective data management. Data migration is also carried out when establishing a new data warehouse.
Various steps are followed during data migration, and they include project scoping, resource evaluation, migration design, among other steps. Below are the best practices in data migration.
Backup your data
In some cases, things may not be smooth as expected during the data migration. That’s why it’s important to determine the systems that might be affected by the data migration process and create a backup to store the data before the transfer occurs. This will offer protection to the data if something unexpected happens during the transfer process.
You can move your data from the SQL server to Snowflake because it has an excellent built-in backup functionality. That means that you can upload your data to an object storage location when using the snowflakes using the built-in copy command. Visiting sqlpipe.com will guide you through transferring data from SQL server to snowflake with a free ETL tool.
Create a clear strategy
Creating a data migration strategy is one of the best practices when transferring data from one storage location to the other. There are broadly two types of data migration strategies used in this case: the significant bang migration and the trickle migration. Each of them will lead to effective data transfer, and that’s why you don’t need to worry about the strategy to use.
Unfortunately, their functionality processes differ. The big bang data migration strategy allows the entire data transfer to be completed with a specific timeframe. It offers a faster data transfer strategy, but it’s said to be riskier. On the other hand, the trickle migration strategy splits the data to be transferred into different stages.
Use the right tools
The organization’s data is very vital for the operations that are carried out daily. That’s why it’s vital to use the right tools to ensure that the data migration is carried out smoothly without loading for too long. The right tools should handle simultaneous data migration, have high data transfer speed and be compatible with the existing data.
Imagine your tool crashing in the middle of data transfer! These tools are used in data profiling, quality verification and testing processes. Choosing the best data migration tool is vital to ensure that you experience a faster data transfer process.
Communicate to the employees
Data migration is a crucial activity that employees should be notified about in every organization. That’s because, in most cases, it’s done by the employees under close supervision to guide them on areas where they might tamper with the data unintentionally. Communicating to the employees will ensure that they know what’s expected.
If possible, come up with a list with all tasks and the roles of each activity carried out. You can even verify all this information provided you have the necessary resources to complete each task. In your communication, state clearly who has the final say over the data migration process.
Verify the data complexity
Verifying the data’s complexity will enable you to choose the best approach to take in data migration. Data complexity refers to the size and the intricacy of the data being dealt with. The basic dimensions used to determine data complexity include size, structure, variety and abstraction.
During the verification process, you will have to access the disparate forms of the stored data and verify the type of data you will migrate. The verification should also include the type of format used after the data migration process.