Big data analytics in the cloud

Big data analytics places rigorous demands on networks, storage, and servers. This is why some businesses are outsourcing this hassle and expense to the cloud. Big data in the cloud is providing new business opportunities that support big data analysis and confront various,architectural hurdles.

The main advantage of big data comes through big data analytics. By using big data analytics in cloud, businesses are able to derive better analysis from the large amounts of structured and unstructured data in their possession. The flexibility of the cloud makes it ideal for big data analytics. Also, cloud computing is much cheaper for companies to use than the large-scale big data resources that organizations have used before. Moreover, the cloud also makes data integration from numerous sources easier for companies.

As a number of organizations have started to move their big data analytics applications to the cloud, let’s take a look at some of the advantages of using the cloud for big data analytics.

Reduce Cost

As organizations are shifting their operations and big data analytics into the cloud, this is offering major financial advantages to participating companies. This is because when you are performing big data analytics on-premise, it requires companies to attain and maintain big data centers that cause a drain on IT budgets. When you move to the cloud, this responsibility shifts to the cloud service provider. That does not mean you are abandoning your in-house big data centers. This means you will reduce your reliance on the on-premise resources thereby, maintaining small and efficient data centers.

Get Instant infrastructure with Big Data Analytics in Cloud

Another significant benefit of adopting a cloud-based approach is its ability to establish big data infrastructure as quickly as possible. Today, companies that are now facing the growing pressure to develop big data analytics efforts quickly and at a low cost, can help them in achieving these goals, as it provides an instant infrastructure that companies would otherwise have to build up themselves from scratch.

Provide Virtualization

Several enterprises have implemented backup and disaster recovery solutions on the cloud. Virtual data management helps in addressing a key pain point within enterprise big data requirements. As big data grows exponentially, it places a bigger burden on enterprises’ storage infrastructure. This is where cloud backup holds significance. Apart from data backup, it also provides hyper-scalability, cost efficiency, remote data access, and high availability. Moreover, it makes sense for companies to create virtual copies of the remaining applications, rather than making multiple physical copies for analytics.

Both technologies are aimed at helping businesses better understand their customers. As more and more organizations are adopting big data analytics and the cloud, they’ll be able to speed up their product development cycle, quickly respond to changing market conditions, and open up new markets that weren’t available to them before.