SMART INVESTMENT DECISIONS THROUGH SHARE MARKET ANALYSIS USING BIG DATA SYNTHESIS AND HIVE BASED OPTIMIZATION TECHNIQUES IN HADOOP ECOSYSTEM

Big Data is an advance technology which is used to reduce complexity of huge amount of data (data can be in a structured form, unstructured form or semi-structured form).  Big data technology has potential to take over all the fields that are capable of producing huge amount of data. Big data is a group of multiple techniques and tools. It has multiple characteristics and techniques. Big data can be understood as huge amount of data that is still growing as a result of continuous data generation by industries, social media, sensory data and even from space related data as satellite images. It can be any combination of audio, video text and images as well. It can be applied in many areas like it is useful in a business, healthcare, law firm, education as we can identify various patterns in data, perform future prediction etc. In this paper our aim is to describe an experiment pertaining to analysis of business file by displaying various traits so as to how to get data records from the data sets and conclude various filtration and data synthesis techniques.