Big Data Analytics in Cloud Computing

In this paper we will study the two unlike but related technologies – Big Data and cloud computing – and also examines the benefits and outcomes of using cloud computing for Big Data analytics. As information is being produced at a phenomenal scale and it is originating from every direction, such a monstrous measure of information makes enormous or complex informational indexes. These informational collections are known as Big Data. The blend of cloud and big data can be attributed to fresh IT (Information Technology) wave that is causing remarkable progress across IT departments of various industries. In this new environment of big data and cloud there are challenges associated with data storage as data are accumulating rapidly.With rapidly expansion of Big data requires government agencies to extract relevant data and make sense of it in order to make evidence-based policy decisions, with a focus on translating data into information and subsequently information into knowledge. The way to do this is to employ so-called big data analytics, which involves analyzing numerous data sets in order to reveal information such as specific patterns, correlations, and trends, among other things.Big data analytics places rigorous needs on networks, storage, and servers. This is why few businesses use the cloud for this. Big data and cloud are combining to create new business prospects that support big data research while also overcoming numerous architectural challenges.For these mutually exclusive principles to coexist a solution architecture is required to truly exploit. Future breakthroughs and research difficulties in cloud computing that support Big Data analytics are presented in this review.