Volume : 4, Issue : 12, December - 2015

USE AND IMPACT OF BIG DATA IN CLOUD COMPUTING

Gunjan Sharma, Neha Arora, Anita Rai

Abstract :

<p>&nbsp;Big data is an all-encompassing term for any collection of data sets which are large and complex it contain structured and unstructured both type of data. As big data comes from everywhere, sensors used to gather climate information, digital pictures and videos etc. We all know that big data is a new term used to identify the datasets that due to their large size and complexity, we cannot manage them with our current methodologies. Cloud computing offers the promise of big data implementation to small and medium sized businesses. Big Data processing is performed through a programming paradigm known as MapReduce. Typically, implementation of the MapReduce paradigm requires networked attached storage and parallel processing. The computing needs of MapReduce programming are often beyond what small and medium sized business are able to commit. Cloud computing is on-demand network access to computing resources, provided by an outside entity. Common deployment models for cloud computing include platform as a service (PaaS), software as a service (SaaS), infrastructure as a service (IaaS).The three types of cloud computing are the public cloud, the private cloud, and the hyid cloud. A public cloud is the pay- as-you-go services. A private cloud is internal data center of a business not available to the general public but based on cloud structure. The hyid cloud is a combination of the public cloud and private cloud. Three major reasons for small to medium sized businesses to use cloud computing for big data technology implementation are hardware cost reduction, processing cost reduction, and ability to test the value of big data.The major concerns regarding cloud computing are security and loss of control.</p>