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CLOUD WITH BIG DATA ANALYTICS

Submitted by –

Nutan Prabhakar Patil

MSc IT Part 1

Department of CS & IT

PCP – JMF’s Vande Mataram Degree College

of Art, Commerce & Science, Dombivli [W]

College – Iinstitute of Distance and Open Learning,Mumbai, Maharashtra -  University of Mumbai

Under The Guidance Of -

Prof.. Vanita Lokhande

Department of CS & IT

PCP – JMF’s Vande Mataram Degree College

of Art, Commerce & Science, Dombivli [W]

Abstract –

This paper introduces the characteristics, trends and challenges of big data. In addition to that, it investigates the benefits and the risks that may rise out of the integration between big data and cloud computing.

Big Data is a collection of data that is huge in volume, yet growing exponentially with time. It is a data with so large size and complexity that none of traditional data management tools can store it or process it efficiently.

Big data is currently one of the most critical emerging technologies. Big Data are used as a concept that refers to the inability of traditional data architectures to efficiently handle the new data sets.

The 4 V’s of Big data –

• Volume
• Velocity
• Variety
• Veracity

Cloud computing is based on the concepts of consolidation and resource pooling, but big data systems are built on the shared nothing principle, where each node is independent and self-sufficient. Integrating big data with cloud computing technologies, businesses and education institutes can have a better direction to the future. The capability to store large amounts of data in different forms and process it all at very large speeds will result in data that can guide businesses and education institutes in developing fast. Nevertheless, there is a large concern regarding privacy and security issues when moving to the cloud which is the main causes as to why businesses and educational institutes will not move to the cloud.

Keywords - Big data, Cloud Computing, Analytics