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Data Migration

Data Migration

Store And Keep Your Data Safe With Us
Service Intro

What is Data Migration ?

Data migration is the process of transferring data from a source system to a target system. It is a core task for any data storage professional.

Data Migration is the changes in data between storage types, formats, or software systems. It should be a key consideration for any system implementation, rise or consolidation. In an ideal world, it would be performed programmatically to make an automated migration.

Data migration is important because it is a necessary component to upgrading or consolidating server and storage hardware, or adding data-intensive applications like databases, data warehouses, and data lakes, and large-scale virtualization projects. Data migration may also occur within systems built on HDD or SDD, or between in-house systems and cloud storage.

Types of Data Migrations

Migrating Storage
IT migrates data during a storage technology refresh. The goals of technology refreshes are faster performance and dynamic scaling along with improved data management features.
Migrating Databases
Migrating a database can mean moving between platforms, such as on-premise to the cloud, or migrating the data from one databases into a new one.
Migrating Applications
Application migration can mean moving data within an application, such as shifting from on-premises MS Office to Office 365 in the cloud. It can also mean replacing one application with a different one, such as moving from one accounting software to a new accounting platform from a different vendor.
Migrating to the Cloud
Cloud migration moves data from on-premises to a cloud, or from one cloud to another. This type of data movement is not the same as backing up to the cloud: data migration is a distinct project that moves data from the source environment to populate the new one.

Data Migration is not the same thing as Data Conversion or Data Integration

01
Data Migration
Data Migration Moving data between storage devices, locations, or systems. Includes subsets like quality assurance, cleansing, validation, and profiling.
02
Data Conversion
Transforms data from a legacy application to an updated or new application. The process is ETL: extract, transform, load.
03
Data Integration
Combines stored data residing in different systems to create a unified view and global analytics.
Data-Migration

The Process: How to Succeed with a
Data Migration Strategy

Despite the difficulty and risks, We can ensure a successful project within budgets and deadlines. We takes expertise, strategic planning, management buy-in, and software tools.A working data migration plan will include the following:

Budget for Expert Help

we prefer to be hands-on, and some migration budgets do not allow for expert advice. However, unless we have already has migration specialists on staff, they will save money and time by hiring consultants who are experts at data migrations.

Plan the Strategy

Understand the design requirements for migrated data including migration schedules and priorities, backup and replication settings, capacity planning, and prioritizing by data value. This is also the stage where IT decides on the type of migration implementation schedule, sometimes referred to as “big bang or trickle.” Let’s look at these terms.

Work with Your End Users

Treat the data migration project as a business process instead of simply a set of technical steps, and involve your end-users. They will have understandable anxiety over the success of the migration project.

Audit the Data and Fix any Issue

Know how many TBs of data you are migrating, and target storage capacity and growth expectations. Database migrations require auditing the source database for unused fields, obsolete records, and database logic; and making changes before migrating data to the new platform.

Backup the Source Data Before you Move It

If the worst happens and you lose data during the migration, be prepared to restore it to original systems before trying again. Best practice is to create backup images that you can immediately restore to the original system should the migration lose data.

Move and Validate the Data

Invest in automated data migration software that allows you to schedule staggered migrations of data subsets, validates data integrity in the target system, and issues reports for troubleshooting and verification. Protect databases during active migrations with a software tool that syncs the source and target databases in real-time.

Final Test and Shutdown

Once we have migrated all data, test the migration using a mirror of the production environment. When it all checks out, carefully go-live and conduct final tests. Once the new environment is running smoothly, shut down the legacy system.

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