Big data has several applications like page bank algorithm, recommendation system, sentimental analysis, and many more. Recommendation is the key to success for discovering and retrieval of content in this era of huge data [1]. Association Rule Mining (ARM) algorithm is mostly used for recommendation systems. User behaviour is given input to ARM in key/value pair format which can be generated by Map-Reduce function [2]. ARM attempts to find frequent item sets among large datasets and describes the association relationships among different attributes. Market-Basket analysis is the major application of ARM used to predict customer's purchasing behaviour and recommend product to customer [3]. For implementing this recommendation systems there are several programming languages and scala is one among them which is an object oriented and also supports functional programming [4]. For processing large amount of data, functional programming is faster and easier, but in some cases we need to provide security for sensitive data. Also scala runs on Java Virtual Machine (JVM) and also scala can execute Java code since scala code is converted to Java Byte code when compiled. So scala will have a better advantage to implement big data applications.