Big Data Analytics

Big Data Analytics in Cloud Computing

This is the age where the companies are flooded with data, data and too much of data. The availability of such huge amount of data is forcing the organizations to take a step beyond the conventional self-owned data centers and start migrating to data centers in the cloud. Cloud service providers offer this solution as a part of their IaaS service model. In order to provide more value to the customer, many of the service providers have started moving towards the next big thing in the current technology world – Big Data Analytics. The analytics solutions are being delivered under SaaS model and storage and analytics services are being bundled as a product which will be beneficial for both the providers and the customers. Another attractive feature that pulls the enterprise customers towards this development is their reduction in capital and operational expenditure (CAPEX and OPEX).

Various services providers are offering powerful analytic engines in cloud that enable end-users in the form of organizations to fight their Big Data challenges and also tap upon the potential that can be gained from the data treasure that is available. In this context, we have seen the demands for dashboards, continuous fine tuning of analytic engines and innovative features by monitoring the user behaviour from a close proximity and implementing benchmark standards for the Key Performance Indicators (KPIs).

The Potential

According to the Forrester Report on “The Changing cloud Agenda”, it has been quoted that “38% of the major organizations are planning to implement BI in SaaS by 2013”. Also, Information explosion has been phenomenal with around 1500 blog posts, 98,000 tweets per minute and it has been estimated that about 2.97*1012 GB of data will be generated by the end of this year. It is highly impossible if an organization has to store such huge quantities of data in-house and also develop/acquire various technologies to perform the...