How to migrate on-premise data to cloud

So, you have finally decided to move to cloud. Whether you want to move on-premise data to a public cloud like Microsoft Azure, Google Cloud, Amazon Web Services; or to private cloud environment like Open Stack – unless you understand the process of data migration to sufficient depth – your migration will not just be super-expensive, it can also open your business to unwanted security and regulatory compliance risks.

Migrating on-premise data to cloud can be done in one of the following fundamental ways:

Forklift (IaaS)

Forklift - just as the name suggests, you "forklift" data wholesale and move it to Infrastructure-as-a-Service, or IaaS, layer in the cloud. This method requires less development effort and is relatively simple to do. The downside is that services and applications need to take a downtime to maintain data consistency while it is in flight to the new destination.

Surgical (PaaS)

In the somewhat surgical Platform as a Service (PaaS) approach, we understand the data in on-premise repositories and databases. Then we prepare the right schemas through which the data is migrated to a SQL or NoSQL PaaS layer in the cloud. More development efforts are required but there is less downtime for applications and services.

Hybrid Lake

In our hybrid approach, we use a combination of techniques, technologies and best practices to create a hybrid data pool, or data lake. The applications continue to work fine while the data is being migrated smartly in bursts to PaaS and IaaS layers in the cloud. This approach provides the best of both worlds giving you cost structure between IaaS and PaaS.

Want to learn more about which method would yield best results for you? Contact us for an assessment.

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