Measurement Metric Proposed For Big Data Analytics System

Abstract

Big data is defined as a very large data set (volume), velocity and variety. Big data analytics systems must be supports for parallel processing and large storage. The problem of this research is how to identify measurement metric based on big data analytics system characteristic. One device that support big data platform is Hadoop. Measurement is a process for assigning values or symbols to the attributes of an entity. The purpose of measurement is to distinguish between entities one to another. Indicator for software measurement represented with a metric. The aim of this research is to proposes some measurement metric for big data analytics system. This research using UML exactly a class diagram in system modelling to identify the measurement metric. Both of dynamic and static metric is proposed as solution to measure big data analytics system. Result for this researh are some measurement ndicator both of dynamic and static metric based on class diagram for big data analytics.