Open AccessEffective Visual Big Data Processing with Machine Learning Methodologies
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.k1316.10812s19
Subject(s) - adaptability , computer science , ibm , big data , measure (data warehouse) , data science , data processing , business process , database , data mining , engineering , ecology , materials science , compatibility (geochemistry) , chemical engineering , biology , nanotechnology
Development of high web utilization made business procedures in a difficult manner. In request to dissect the online business un-organized and gigantic measure of information is unimaginable with the Traditional frameworks. Recent innovations propel the strategies for examination are made to break down a lot of the information utilizing the Big Data Techniques, and to improve the adaptability and the precision of investigating the business methodologies, it has actualized on Hadoop with parallel preparing. This paper presents the experimental study on IBM real time data of one lakh records for demonstrating the efficiency of proposed Hadoop based distributed query processing technique.