Big Data Concept Information Literacy Perspectives and Applications in Academic Environments

Abstract

The investigators have brought out the history of big data, its meaning, its different types such as web data, text data, location and time data, social network data, etc. The characteristics of big data such as volume, velocity, variety, and complexity are discussed. Application of big data in various fields in everyday life is discussed in different fields such detection of fraud, application in agriculture field, banking implication, healthcare implication. Entertainment and media industry is also using it effectively. Big data is also used in weather forecasting, transportation industry, education industry, and sports sector. Future of big data is bright. More data on everything is available today. One needs to analyse everything today in order to implement policies. Software is available to process such voluminous data. The chapter also discusses the influence of big data on Indian governance, digitalization in India, finance and banking sector. In conclusion, one can say there is bright future of big data in various private and public sectors. Today's problem is information overload. One has to be very dexterous in disseminating using information with the help of web tools and software one can use. The investigators also discuss the perspectives and applications in academic. Voluminous data available in the academic environment requires proper accumulation, assembly, access, curation, retrieval, and dissemination. Dexterous skills are required for handling this situation. Information literacy deals with accessing, evaluating, and ethically using information.