Handling Big Data Using MapReduce Over Hybrid Cloud

Today is the world of digitalization and we cannot imagine digital world without Big Data over cloud infrastructures. The best financially savvy strategy to manage the expanding intricacy of huge information investigation is half and half cloud divide that leases brief off-start cloud assets to support the general limit amid top use of information. Half breed cloud framework make a domain for accessible for all intents and purposes boundless measure of computerized and informatics assets, which are overseen by outsiders and are gotten to by clients in secure way and as indicated by pay-examine way, with best Quality of Services. It empowers advanced figuring frameworks to be scaled all over as needs be to the measure of information to be handled. MapReduce is among themost famous models for advancement of Cloud applications. MapReduce is a famous procedure of Hadoop Big Data for dissecting expansive datasets and groups. It takes into account parallel handling of a lot of information over half breed distributed computing assets. Hadoop strategy of Big Data is an open-source usage of MapReduce and utilizations the Fair scheduler to relegate delineate lessen capacity to the different registering hubs. This paper we can fetch data using map and reduce function of Hadoop pig framework over hybrid cloud resources.