Traditional data management, warehousing, and analysis systems fall short of tools to analyze this data. Using traditional DBMS techniques like Joins and Indexing and other techniques like graph search is tedious and time-consuming. In this paper, we suggest various methods for catering to the problems in hand through Map-Reduce framework over Hadoop Distributed File System (HDFS). Map Reduce is a Minimization technique which makes use of file indexing with mapping, sorting, shuffling and finally reducing. Map Reduce techniques have been studied in this paper which is implemented for Big Data analysis using HDFS.