Important Steps in the Data Migration Process

Why is Data Migration Strategy Important?

A data migration strategy is important because it minimizes costs and the fear of losing the data. It helps to reduce system downtime. Also, it improves the user experience of the deployed data....

Important Steps in the Data Migration Process

The first step of data migration is to set the objective and requirements gathering. Now plan your data migration based on the scope. The Next step is you need to assess the source and target data migration system. Now check on potential risks and obstacles associated with the data migration process. Another important step is you need to determine the required human, financial, and technical resources to execute the data migration. Choosing the appropriate tools and technologies for extracting, transforming, and migrating the data is another major step. After migrating the data, you must do proper testing to ensure the accuracy and consistency of the migrated data. Finally, create proper documentation of the end-to-end migration process and share knowledge transfer to relevant members....

Data Migration Strategies

These are the 4 major data migration strategies....

1. Big Bang Data Migration

Big Bang migration is the process of moving applications and database (DB) data from the old system to the new system at a specific point in time. It is a single-step process....

2. Incremental Data Migration

An incremental migration strategy supports gradually transitioning from an old system to a new system or new DB. In this process, Migrate the users or system features phase by phase instead of all at a time....

3. Hybrid Data Migration

A hybrid data migration strategy combines two or more migration methods to achieve the specific needs of the organization’s data migration....

4. Parallel Data Migration

In the Parallel Data Migration strategy, both old and new systems run simultaneously while data is imported into the new system. When all issues are resolved and the new system is working smoothly, it will replace the old system....

Comparative Analysis of Data Migration Methods

Migration Methods Advantages Disadvantages Big Bang Migration It is a single-step process, so it can be done quickly. It is simple because you concentrate on a single migration event. Risk is high because if any issue happens during the migration, the entire system will be affected. It is difficult to handle all the data at once. Incremental Migration It gives a chance to scale the migration efforts from smaller to larger data sets. Risk is low because if any issue occurs, you can simply check and fix the recent phase migration. It takes longer duration because of phase-by-phase migration. Too much of phases lead to increasing resource usage. Hybrid Migration It provides more flexibility. You can choose the migration methods based on the requirement. This method allows to optimal use of resources. It is a time-consuming method than single-step migration. Managing multiple migration methods simultaneously increases the complexity. Parallel Migration Risk is low because in case of data loss or system failure, the old system running continuously (as a fallback) It supports smooth transition due to the fallback system(the old system acts as a fallback). It is costly because of additional resources and hardware. This method is complex because needs to maintain data synchronizing....

Frequently Asked Questions on Data Migration in DBMS – FAQs

Which data migration is a quick process?...