One of the central concerns in a new enterprise-class cloud computing partnership is the effectiveness of data storage. Big data is a big business, and many companies have forged their reputations and grounded their operational frameworks in the 3 Vs, big data's 'power trio' – volume, velocity and variety. With hosted cloud solutions, organizations are acquiring more than a big data babysitter – they are engaging in active partnerships with solutions providers that are constantly working to make sure that the data storage component of cloud computing is operating at maximum security and scalability.
The scalable solutions of enterprise clouds offer companies as much room as they need. With private cloud services, an organization never needs to worry that it's going to reach some capacity or compete for space as they might with public cloud data storage. Clouds have to be able to accommodate rapidly expanding volume to prevent cloud bursting, according to TechTarget. Cloud bursting occurs when the workload of an application exceeds capacity and cloud service providers can offer the potent data recovery solutions necessary to cope with it.
Data doesn't slow down. Cloud storage solutions can provide the operational capacity to keep data moving at optimal speeds without compromising any of its functionality. ITBusinessEdge cited several common concerns that business leaders have about the alacrity of their stored data, including sharing, file syncing and latency. IaaS cloud deployment enables the generation of a system that specifically targets sources of lag time and amends them.
The sheer amount and divergent types of information that many companies use for their analytical models can make effective unification of data difficult. Enterprise clouds solve this problem through robust data center synchronization, ensuring that even if information is stored in different locations, it can be immediately accessed and combined to inform insights.