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Types Of Data Migration

Data migration can be broadly classified into four types:

1. Database Migration

In this type of migration, data is moved between two database engines. However, if there is a change in the original data, it will simultaneously affect the data language or protocol. The database migration alters the data without altering the schema.

The circumstances demanding this type of migration include:

When the database software requires an update

To migrate a database to the cloud:

- In case the organization needs to change database vendors

- This phase requires careful planning and testing as there are multiple small tasks involved in the process, like determining the storage capacity of the target database, testing applications, and ensuring data confidentiality.

2. Application Migration

This migration takes place when an organization switches from one platform or vendor application to another. Moreover, applications are not at all portable. That’s why the operating systems, virtual machine configurations, and management tools of each application can be dissimilar in the development and deployment environment.

3. Storage Migration

The process helps in moving data from one storage system to another, such as a hard disk or the cloud. The need for storage migration takes place due to technology upgrades. It is not so difficult to implement data management features like data validation, cloning, reducing corrupt or old information, etc. during this process.

4. Cloud Migration

Moving to the cloud ensures scalability, requires fewer storage resources and is cost-effective. Hence, cloud migration has become one of the latest trends in the data management industry. In cloud migration, an organization’s complete or partial information assets, applications, or services get deployed to the cloud. The cloud’s firewall job is the protection of the migrated data.

Benefits of Data Migration:

Some benefits that enterprises get from database migration solutions include:

- Ensures comprehensive data integrity

- Reduces media and storage costs with significant improvements in ROI

- Upgrades underlying applications and services while boosting efficiency and effectiveness

- Helps in the scaling of resources to meet the growing needs of business datasets Along with providing numerous advantages to enterprises, data migration also plays a major role in building a customer base as it eliminates various obstacles that may hamper the customer-company relationship

Thesis
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