One of the most significant emerging technologies is big data. The phrase "Big Data" describes the inadequacy of current data architectures in the effective management of massive data collections. Traditional data warehouses are challenged by the 4Vs of big data, which are volume, velocity, variety, and veracity. Big data and analytics must be considered together. Big data refers to the massive amounts of data that have recently been generated from a wide variety of sources. The goal of analytics is to examine large amounts of data in search of interesting and useful patterns that may then be utilized to inform decisions, enhance existing systems, or even inspire whole new lines of business. It would seem that massive data burdens may be easily and efficiently stored on the cloud. However, a further challenge presented by working with huge data on the cloud is striking a balance between two competing design philosophies. Hadoop and other similar big data systems are designed on the shared nothing concept, in which each node operates autonomously. The principles of centralization and pooling of available resources are at the heart of cloud computing. Using both big data and cloud computing may help organizations and schools succeed in the future.