Data migration for enterprise applications implies moving the data to a different platform. There are multiple reasons as to why you want to migrate data from one place to another. For instance, an organization might want to save costs when data is migrated to a Cloud platform.
Again, another company might discover a platform has some outstanding features that are critical to their business requirements. The legacy system of the current platform might be out of date, and this reason could trigger off the migration too.
Note, the data migration process entails multiple iterations and phases. This can cover the evaluation of the existing database along with its future requirements for the organization, migrating its schema, normalizing, and shifting the data not to forget the importance of testing at regular intervals.
Advantages Of Data Migration For A Company
The following are the key benefits of data migration for a company-
- Costs- One of the primary reasons companies migrate their databases is to save costs. They have a limited budget to work with and need to manage everything efficiently. Companies often move from an on-premise database to Cloud-based ones. This helps them save money on the database infrastructure and workforce and their expertise to support it. It also helps them to streamline and integrate things.
- The Software Is More Modern- This is the second most common reason why companies wish to migrate their database. Often, the system becomes outdated, especially the legacy system. The company wants to migrate to a platform that has been created for modern database needs. Today, it is the era of Big Data, so the company requires new storage techniques as this has become a necessity. For instance, the organization might prefer to migrate from a legacy SQL platform to a flexible system like a Data Lake, etc.
- Single Platform Of Truth- This is another popular reason why companies want to migrate their database to a place easily accessible by all the company units. This takes place generally after company acquisitions have occurred. The systems of the companies have to be combined.
This takes place when different data systems have been siloed through the company. For instance, the organization’s IT department might use one system while the Marketing Division of the company might use another. Now, these two systems cannot communicate with one another as both these databases are incompatible. This means that the company finds it challenging to get insights about the data.
Are There Any Challenges Associated With Data Migration?
Specialists from esteemed data administration and management,RemoteDBA states the process for data migration is a complicated one and can be quite complex. This means the company needs to resort to proper planning to eradicate the challenges associated with data migration. Let’s look at them one by one-
- Find The Siloed Databases- If the organization has been operating for some time, it is common to have several disparate databases in different parts of the organization. They might be located in different geographical locations and departments. The databases might even have been introduced through acquisitions. The first task as a business owner is to identify these disparate databases in the organization. The second task is to create a proper plan when it comes to normalizing the data and converting its schemas successfully.
- Data corruption or Loss- When you have decided to migrate your data from one platform to another, ensures there is no data corruption or loss. Here, you need to plan how to test the data corruption or loss that can happen when you migrate your data from one system to another.
- Security Of The Data- When you migrate the data from one place to another, you must ensure the data is secure. Unfortunately, there are several malicious predators online who are eager to get their hands on sensitive and personal data stored in a system. This is why you should ensure the data is fully encrypted so that you can migrate it safely to the new platform. You can also consider the removal of personally identifiable information, also known as PII as an integral component of the data migration process.
What Are The Steps Involved In A Data Migration?
Note, data migration is a multiphase process that covers all or some of the steps described below-
- Assessment- This stage entails collecting the business needs and evaluating the costs and advantages before moving into data profiling. This process helps you to understand your present data and the schema of the system better. Here, you should plan on how the data should be moved. You can go in for the Extraction, Transformation, and Loading, also known as the ETL tool for the need. Besides the above, you should use scripting or another tool to migrate the data from one platform to another.
- Conversion Of The Database Schema- The database schema is the blueprint on how the database is structured. It differs from the rules of the specific database. When you migrate the database from one platform to another, the schemas have to be converted to work well on the new database.
- Data Migration- Once the above preliminary processes are over, the next step involves the actual movement of data. This includes scripting, the use of the ETL tool, or another tool to migrate the data. During this process, you will convert the data, normalize its types, and check whether there are any data errors.
- Testing And Performance Tuning- This is the last step of the data migration process. Here you need to verify that the data that has been migrated is complete without any missing values. It should not have any null values and must be valid.
Therefore, when it comes to the data migration process, you should keep in mind the above factors, Ensure you consult good IT managers and specialists in data administration so that the migration process can be correctly and seamlessly conducted without hassles.