This paper enumerates methods to look around for the alternate to process Big Data in minimum amount of time using point in time analysis. Now a days with available databased SQL Server, Oracel, DB2 etc. it is quite complex to manage and process larger amount of data for any health care industries. There are lot many hurdles a database engineer face in capturing, storing, maintaining relational data with help of tables and schemas, searching, sharing, presenting to higher management for taking critical decisions related to any org to grow. This paper starts with what is Big Data, why we are moving towards this evolution in IT industry. Following the advantages and challenges in opting Big Data and what all requisites we need to move on to Big Data. The focus on my paper will be to discuss various possible solutions for the issues in managing Big Data using Hadoop (YRAN, HDFS and MapReduce etc.).Cloud Computing plays a subsequent role in managing data using big data tools. Cloud Computing together with Big Data can help any industries to grow much faster pace with promising results.