Once you have decided to migrate workloads to the cloud, the trickiest part is managing the data migration.
Migrating unstructured data can be difficult for many reasons because unstructured data is often millions to billions of files throughout your organization and migrating this volume of data without some automation can be very challenging.
Managing cloud data migrations, particularly of unstructured data, can be a frustrating, labor-intensive, error-prone process. Manually copying data through tools requires a lot of planning, resources and manual intervention. Even after you successfully copy everything into the cloud, you don’t have a good way to access the data since the file-access attributes may not have been preserved.
Here are the top two challenges to cloud data migration – you can also learn more about what the Red Herring has touted as a winning solution, the CorreAssess Platform, that can provide insight into both the used and un-used data center resources
- How do you manage cloud data migrations without downtime?
Data is the lifeblood of your organization. Unstructured data is predominantly stored and accessed as files by users and applications. Migrating this data to the cloud can take weeks to months – during this time, you cannot disrupt your current users and applications.
- How can you automate cloud data migrations to eliminate manual effort?
Migrating data through unmanaged tools is very laborious and error-prone. Any glitches in the network or temporary unavailability of your storage can abort the entire operation. Also, if any failures do occur, you have to start the process all over again. Chunking up the data and moving it in parts is also left to you. File permissions and access control are often not preserved during the copy, which renders the data less usable in the cloud.
Fortunately, you can overcome these challenges with some planning and automation that preserves file-based access both from on-premise and the cloud, but before you ever begin, it remains vital to know and understand your data center resources and requirements, to ultimately save budgets.
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