Journal of Data Mining and Knowledge Engineering ISSN: 3139-5341 (Online)

Abstract

Big data is about high volume and often high velocity data streams with highly diverse data types. To make maximum utilization of massive data, there should be some solid framework to manage the data. In this paper, various architectures have been studied for review. The universal architecture for big data is applicable for common massive data application. In many situations, you may need to react to the current state of data. There is also another class of architecture, real-time big data analysis architecture. Real-time big data architecture is to analyze the stream of online data. Streaming computing is designed to handle a continuous stream of a large amount of unstructured data. Batch mode architecture analyzes the data which are stored earlier. We have also studied RUBA architecture which deals with analysis of real-time data. There is some system which provides recommendation regarding some product or service based on experience of pervious customer or consumer. These types of system collects large amount of data and then analyze them called recommendation system. The architecture of a recommendation system, consumer behavior analysis has been presented here.

Keywords: Big data, big data architecture, big data framework, Real-time big data