CIOTechOutlook >> Magazine >> August - 2015 issue

Moving to the Hybrid Cloud

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The global cloud market is expected to hit $200 billion by 2018. As we are well aware that the advantages that the hybrid cloud has to offer ranges from possessing directly accessible, on premise cloud with a very own private infrastructure; what this also means for enterprises is the huge advantage of not having to go through the public internet for simple mundane tasks. Also, in stark comparison to public cloud services, the hybrid cloud drastically reduces access time and latency as well as offers companies the ability to have on-premise computational and storage infrastructure for processing data that requires speed or quick availability. While on the sidelines the ability to leverage the public cloud for failover circumstances is a possibility in the instance of when the workload exceeds the computational power of the private cloud component.

Data classification is the first critical step in placing the right data into the appropriate storage tier. Keeping this in mind, organizations can then effectively determine which route to take – be it building on-premises solutions, moving to the cloud, or opting for a combination of the two.

In this aspect, especially when it comes to large data migrations into the hybrid cloud, the CIOs are required to come up with new strategies for moving on-premise data to cloud stores or SaaS applications. Although there are many options available, three of these caught my attention .The first of which is Parallel processing, wherein the entities to be migrated have to be related in order for the data to be correctly segregated.

On the other side, incremental loading is a slow and steady approach wherein the time available for a given data migration is based on the change date from the oldest to the newest which can eventually sync up the two systems to the point that the down time cut is based on the data change rate and is independent from the size of the data in question. However, out of the three processes, IT heads need to take a closer look into External Key Cross referencing, which is perhaps the best way to optimize data regardless of approach. The conceptualization of this methodology involves building a cross reference of keys between systems on a local data source, i.e there is no necessity for expensive searches on the rate limited SaaS application entities.

Do let us know what has worked for you the best.

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