Making the Most out of Unstructured Legacy Data Migration to the Cloud

 

Understanding the value and gravity of migrating unstructured data from legacy systems to the cloud and exploring some best practices


Let's face it; no one wants to lose valuable consumer data for various reasons, including improved marketing, consumer insights, better consumer handling, supply chain visibility, and so on. But many CEOs are having trouble keeping their data in legacy systems while shifting to a 21st-century work environment. So much so that 56% of enterprises want to store more data in the cloud, but questions of where & when remains one of the top priorities.


You see, unstructured legacy data from mainframe databases, reports, files, and software assets are still in use today – usually for legal reasons or to keep track of old accounting data, but it poses a financial danger to companies who continue to support these systems. When it comes to data management, unstructured analytics is already one of the most significant issues for most businesses. This is because unstructured data is more likely to consume a significant portion of IT expenditures and storage space in on-premises storage devices. When it comes to moving unstructured data, the problem is that most public cloud providers are concentrating on accessibility and scalability rather than unstructured data migration. 


Therefore, the importance of legacy database migration to the cloud should be emphasized more now because the already tricky task of transferring unstructured data to the cloud will be one of the most demanding projects for enterprises with IDC's global datasphere prediction of 2025. Fortunately, this is a task that can be accomplished by planning the migration.


Unstructured Data Migration to the Cloud

Unstructured data cloud migration is migrating all your unstructured data from your in-house IT infrastructure to a managed cloud solutions provider. This provides several significant benefits, including greater flexibility in expanding (or decreasing) storage requirements, reduced prices, enhanced security and data recovery in the case of a hard drive failure, and the ability to access data from anywhere with an internet connection.


However, most firms opt for a hybrid strategy, in which specific data is moved to the cloud while others stay on-premises. With that in mind, businesses transferring their data to the cloud should consider the following four best practices:


Inventory

Migrating data correctly requires conducting a comprehensive inventory of your existing on-premises data, determining how relevant it is and whether it contains any sensitive information that might compromise your company's privacy compliance if your company website is hacked or a data breach occurs.


Agility

Successful data migration always relies on avoiding infrastructure inflexibility, which may happen fast in our ever-changing environment. That is why data agility is necessary, which refers to the ability to extract certain bits of data swiftly. Put another way; it means making sure your data storage keeps up with the rest of the company IT ecosystem.


Integrity

Make sure that any migration solution you use can maintain the integrity of your migrating data. Any data that is damaged during the migration jeopardizes the integrity of the rest of the information being moved. To cater to that, enterprise data migration solutions may include tight auditing systems that may detect incorrect data and assure adherence to compliance and security regulations such as GDPR and SEC compliance. Preventing penalties and downtime by ensuring data integrity before and throughout the transfer process might save you thousands of dollars.


Support

Finally, it is critical to rely on highly skilled data transfer professionals specializing in unstructured data. Either engage an experienced professional or ensure that the legacy database migration provider you are using has a 24/7 support team.


Companies must focus on a strategy that revolves around taking proper inventory of the data to be migrated, agility and flexibility, having a robust 24/7 support system, and proving the integrity of the migrated data to migrate their unstructured data successfully and accurately on a large scale.

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