Data gravity is a term coined by Dave McCrory stating that data keeps accumulating (building mass) and with that increases the probabilities of additional services and applications being attracted to this data. This is similar to the Law of Gravity. The term was coined to describe the concept that as the mass of data increases, the amount, and speed of services and applications increases as well.
As everything get more close to the mass, they move toward the mass at faster velocity and this can be known as the ‘pull’ of the data. This is one of the reasons for the increase in cloud migration.
Data gravity has resulted in increased IT infrastructure scale, which is an added advantage for cloud service providers. Cloud has become the ultimate solution for data migration. Moreover, no other technology can be delivered as cloud and that’s what has paved way for cloud. Even businesses have started to gain momentum with cloud-based services. The application developers have shown interest in hosting their application at places where there is already data deluge as this enables them to access a pool of already existing data, which cuts down the need to transit from one environment to another.
According to a study, cloud market giants will play a big role in providing cloud services to users, globally. There will be some localized players that will cater to a more localized demand but the big market players will be the one to dominate and occupy most of the industry.
While the data in the cloud environment continues to increase, migrating to the cloud without considering the length and strength of next application might cause issues in the future. It’s always recommended to take in account long-term effects of your user base’s growth along with the amount of resources the application will demand. In addition there are some crucial considerations that can’t be overlooked such as the effect data gravity will have on other applications; issues that will come up if the data cannot be migrated, and so on. Exploring different essential areas can help avoid problems later.
Besides this, you need to understand that size of the organization has nothing to do with the size of the outcome. What is more important is choosing the right vendor for your needs. If the base is designed appropriately it can help in achieving timely and compatible business intelligence. It provides the flexibility to shift and administer data so that it can use the information rightly.
As businesses grow it produces a large amount of documents that cannot be moved into the dark data. But services from a vendor blends in storage, recover, security, etc, into a single, unified platform that is an best solution for successful businesses. The ultimate aim here is company value and for that it requires careful planning that develops the essential phase by taking into account data gravity in every aspect while designing the business roadmap.
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