In recent times, the entire technological landscape has undergone a facelift due to the arrival of big data. What exactly does the new buzzword ‘big data' signify? It is nothing but the exponential growth in availability of both structured and unstructured data. Numerous challenges arise while processing such colossal amounts of data when traditional database and software techniques are used. Some problems faced during big-data processing are as follows:

  • Analysis
  • Internment
  • Examination
  • Search
  • Sharing
  • Storage
  • Loading
  • Transmission
  • Conception or visualization
  • Privacy violation

Both small and large enterprises across the globe generate and maintain huge amounts of both archived and new data on a daily basis. The emergence and rampant usage of ubiquitous information-sensing devices is partly responsible for the same. In order to keep up with the pace of such increasing business datasets,appropriate data storage facilities must be set up. But in the field of business analytics, standard tools and procedures are not capable of searching and analyzing massive datasets.

In order to handle this, venture capitalists have begun to pour millions of dollars into service providers who promise to tackle big data related challenges. A second paradigm shift which has brewed up recently in the technology industry is cloud data.As a result, the amalgamation of cloud with big data, analysis of massive amounts of data and the connectionof the same with devices in the form of Internet of things has now become a reality.

Creating a competitive lead with cloud based big data analytics

It is true that big data analytics mainly focuses on data generated from social/business sources. This includes

  • E-mail
  • Videos
  • Tweets
    Facebook posts
  • Internet behavior

The scope of interest in big data analytics comprises ofdata from intelligent systems and complex big data. In order to handle the same, companies are now adopting cloud delivery models. This is mainly due to the flexibility which enables ITto evaluate brand new approaches. Global organizations are inclined towards private cloud environments. Big data analytics can be added to in-house offerings of cloud services providers that offer different hosting services incluidng cloud hosting, VPS hosting, etc. One can also adopt hybrid clouds with extra security features enabled for sensitive data, yet the business can benefit from valuable external data sources as well as applications within a public cloud.

As a business owner, you can unblock the potential of big-data in Cloud by incorporating a cloud infrastructure.Though cloud-based big data is not a one size-fits-all solution, numerous factors such as workload, cost, security and data interoperabilitycan use private cloud to mitigate risk and for the maintenance of control.