Big Data refers to the rapidly expanding collection of data seen in social networking sites and online apps. Report analysis for hundreds of datasets is generated by Hive queries combined with Hadoop. To obtain those datasets, a significant amount of your time is required. Performance analysis is lacking. In order to overcome this limitation, the immensely popular Market Basket Analysis (MBA) algorithmic rule is utilized in the Amazon cloud surroundings by integrates it by the Hadoop scheme and Hbase. The information is intended to be permanently stored, together with the information set’s historical records and the report analysis of these data sets for the performing arts. This method’s main goal is to increase performance by parallelizing various tasks such information loading, index building, and query evaluation. As a result, the performance analysis is finished using at least 3 nodes in Amazon cloud environment. Hbase could be a distributed, non-relational, open-source information model. It operates on the most advanced Hadoop. It has a single key that may hold several values. It takes less time to execute the information and avoids iteration when retrieving specific information from large databases. When conducting artistic operations on the map, the HDFS filing system is used to store the information. Additionally, when the number of nodes doubles, the execution time also decreases. HBase Heap Memory and Caching Parameter are two examples of the parameters that are used to fine-tune the performance analysis.