Two very popular topics of conversation in today’s IT world are the use of cloud computing and the increasing value of Big Data. In the old days, data management meant huge rooms of hardware storing bits and bytes for eventual transmission to an analyst. Those days are far behind as data storage merges with the cloud’s free-form architecture. Using the cloud to process big data in a meaningful way makes sense due to the cloud’s growing list of advantages.
Big Data has a natural home in the cloud. Most data traffic in 2015 travels through the cloud already; keeping it there allows more efficient handling of the data. The cloud is quite flexible and accommodating to new requirements, can be expanded or pulled back on the fly, accessed from nearly anywhere and is highly secure if configured properly. In fact, the cloud is often more secure than traditional hardware-based storage since patches and updates are done automatically and in bulk.
A company converting to cloud storage and app management typically enjoys a major reduction in IT costs as well as rarely having to worry about outdated technology. Risks related to data integrity and security are minimized while improving the level of processing and analysis that can be done on the data through the newest data management offerings.
Using cloud computing to handle big data is a no-brainer. Traditional analytics processing requires a lot of overhead whether it be human resource, storage space or bandwidth. Analytics on massive data sets are far more powerful when performed in the cloud because the cloud can be fed from multiple sources and is able to work with data that is completely raw or totally structured. Data results can be ranked in multiple ways depending upon the importance of each data point or data set.
For optimized recordkeeping, separate retention requirements may be assigned to the various pieces of data to simplify regulatory and company records retention policies. This factor lessens the load on the system that could result from storing unnecessary information.
Using a hybrid cloud arrangement in which sensitive data is kept securely in a private cloud while other data can be fed through the public cloud will further lower costs while minimizing the need for hardware resources. Analytics applications can reside in any part or arrangement of the cloud through use of an as-a-service model. AaaS is rising in popularity and has contributed great value to organizations adopting the concept.
Cloud analytics deliver a wealth of real-time information to the stakeholders who need it most, often before they know they need it. Whether the organization is local or global, using Cloud to process and store Big Data lends to an easily governed and controlled data management strategy.