Types of Data Migration
Currently, there are several ways to increase the sales force of organizations. Data migration is ideal for reducing costs and knowing how much IT staff you can reassign to other types of activities.
It consists of moving existing array data to more modern arrays that allow other systems to access it.
Facilitates expected data management. This includes cloning, snapshots, backup, and disaster recovery.
Data Migration to the Cloud
Data migration to the cloud is moving local data to a cloud-based environment or moving data between different cloud platforms.
This process typically involves storage migration, which involves moving data from one storage system to another.
Data migration to the cloud is critical to cloud computing because it allows organizations to take advantage of the scalability, flexibility, and cost-effectiveness of cloud-based infrastructures.
It is the process of moving an application program from one environment to another.
This can include moving the entire application from a local IT center to a cloud, moving between clouds, or simply moving the data underlying the application to a new form of application hosted by a software vendor.
Key Data Migration Strategies and When to Use Them
It is crucial to have a comprehensive understanding of the available strategies when deciding about a data migration plan.
You can use the following strategies to be effective when looking to handle your data with success.
Big Bang Migration
This strategy is proper when minimal downtime is acceptable, and the company can afford a brief interruption in operations.
You can use it for smaller datasets or when transitioning to a new system with minimal data complexity. However, it involves higher risks due to the potential for significant disruptions.
Phased migration is suitable when the organization needs to minimize disruption and risks associated with a large-scale migration.
It is ideal for organizations with complex data environments, allowing them to migrate data in stages, often by department or category while maintaining business continuity.
This strategy is beneficial when businesses require real-time testing and minimal downtime.
It is suitable for situations where data accuracy and synchronization between old and new systems are critical. However, it can be resource-intensive to maintain both systems simultaneously.
Rehosting (Lift and Shift)
Rehosting is a suitable strategy when migrating to a new infrastructure, such as a cloud platform, without significant application or data changes.
It is efficient if your company seeks a quick migration but may not be ideal if optimization or transformation is necessary.
Data replication is useful when businesses need continuous access to data with minimal downtime during migration.
The most common scenario where companies use it is for high-availability scenarios, such as in financial institutions or critical real-time systems. However, it requires robust data replication mechanisms.
ETL (Extract, Transform, Load)
ETL is valuable when data format and structure differ significantly between the source and target systems.
It is perfect for data requiring significant transformation before migration, ensuring compatibility and integrity in the new environment.
Data virtualization is beneficial when companies need real-time access to data in the source system while minimizing data movement. You can use it when transitioning to new systems or platforms while maintaining seamless data access for ongoing operations.