Data management infrastructures are increasingly adopting methods to integrate the cloud, and some of the largest companies, Microsoft, AWS, and Google, are offering open-source databases.
Companies need to determine the scope and outline the requirements. The methodologies to shift data to the cloud can be difficult, particularly in sectors such as healthcare, where terabytes of digital patient information are created each year. This voluminous data must be backed by disaster recovery steps and the right skills.
There are risks in this sector as patient data is sensitive, and proper execution of methods is required to prevent loss. The key challenges in most systems are – complexity of the source, loss/corruption of source database, and validation of migrated data.
Assessment
To start the process, an IT team is formed to conduct the transfer, where it examines the availability of network bandwidth, CPU, storage, allowable downtime, and related schedules.
Other requirements include application-based requirements and database constraints. In the case of shifting to a hybrid cloud, steps should be taken to ensure and cover all the bases.
First, a cloud service provider should be selected where the most suitable solution depending on the type of organization, should be adopted.
If the public cloud is based on newer versions or different platforms and hardware, preparation around memory, network bandwidth, and solid-state drive performance will be required.
One must evaluate the hardware changes required for migrating the existing system to a public cloud for hybrid deployment.
Reorganizing And Creating Dependencies
Data migration requires reorganizing where the quality is improved through tests, loads, deletes, reloads, and retests. A data map can be created, and all dependencies should be identified.
The records should be verified, migrated, and confirmed to ensure all have been moved to the new platform in a proper format.
The process of restructuring where repeated data or obsolete information is deleted helps improve output during the live process. The formats can be changed to update to new storage formats, and normalization helps to remove repeated fields.
Adaptability
To promote adaptability to the new framework, coding in Apex or Java can be written, but the main purpose is to manage the process, where a tool can be used for creating scripts for the cross-cloud migration. Automation or push-button setup can be used to ease the process.
Many providers will suggest a tiered approach to get near-term returns and restrict disruptions during the process.
Testing And Retesting
The source should be maintained to prevent the loss of information. The database should not be allowed to delete or add new records during shifting. Testing and quality steps should be taken before the completion of the migration process, and it should continue until all the files are moved.
The final audit helps in removing duplicates and ensuring completeness. It is required to remove outdated records and junk files.
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