Open AccessBig Data Management, Data Science and Data Analytics: What is it and Where— An Educational in Indian Perspective
Author(s) -
K.Prashant Gokul*,
Dr.M. Sundararajan,
Prantosh. K. Paul
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.l3978.1081219
Subject(s) - big data , data science , computer science , raw data , field (mathematics) , data management , analytics , business intelligence , data analysis , object (grammar) , data visualization , visualization , perspective (graphical) , data mining , artificial intelligence , mathematics , pure mathematics , programming language
Large object normally treated as ‘Big’. It is a fact that Data is the raw information and content. Technology is rapidly changing emerging and today social media is very much popular and broken all the geographical boundaries. Big data is a concept and procedure which is deals with the data sets which are so large and in which traditional data processing become tough and eventually applications are inadequate. Analysis, capture, sharing, storage, visualization, querying, information etc in general data management principles become important challenge. Hence data sets having complexity and huge sizes suffer in adequacy. Business Intelligence is a related branch and accountable for the descriptive statistics with soaring information compactness to measure things, identify trends and so on. Data science approaches is deals with the quantitative analysis of data by using methods of statistical learning. It is an approach and combines classical statistical methods including progress in computational systems along with machine learning. This is a theoretical paper depicted current trends and issues of data science and big data. Moreover paper is also describes the potential and available programs in the field. Paper is also proposed and possible programs in the field.