Big Data means a large chunk of raw data that is collected, stored and analyzed through various means which can be utilized by organizations to increase their efficiency and take better decisions. Big Data can be in both - structured and unstructured forms. Structured Data is more easily analyzed and organized into the database. Unstructured Data, on the other hand, is much harder to analyze and uses a variety of formats. Also, it is not easily interpreted by traditional data models and processes. We come to a place that at the same time becomes the starting point for the potential use of Big Data in small and medium-sized organizations, that is basing the decision-making process fully on the results of analyzes of diversified data. Thanks to this approach, the decisions made, both strategic and operational, are subject to a lower risk of failure. Big data provides an opportunity for organizations to gain insights from their data in order to make better decision. Large companies in several sectors are achieving enormous improvements by applying big data analytics. Small and medium enterprises (SMEs), which have smaller size and less revenue, can also benefit from big data to add value to their business. This also applies to Big Data database technologies, which is applicable in various sectors of the economy, but due to the high investment costs of implementing this technology in the business processes of business entities, so far only large corporations and larger enterprises can afford such technologies. In this paper, already ex-plained about Big Data analysis data of Google, IBM and other related enterprise company and Big Data future research.