Where Caution Blends with Technology!
Big Data Technology can be defined as a Software-Utility that is designed to Analyse, Process and Extract the information from an extremely complex and large data sets which the Traditional Data Processing Software could never deal with.
The Big Data Surveillance’ examines the relationship between big data and surveillance in three linked streams: security, marketing, and governance. This project focuses mainly on the vulnerabilities generated by big data surveillance. In all three streams the collection of big data and computation capacities tilt surveillance towards predicting outcomes and intervening to shape behaviours in advance. While big data is often celebrated as offering new advantages for surveillance it also presents critical intellectual and policy opportunities for assessing the social, political and ethical issues it presents.
Big data extends the scope of surveillance by co-opting individuals into participating in the surveillance of their own private lives. The ethical questions, political concerns and moral challenges arising from the use of big data techniques protrude well beyond data protection and privacy rights
Big data promises to further transform the ways that information and power are intertwined. Today, vast datasets of personal information are assembled and analyzed in unprecedented ways and novel domains. They prompt fresh queries about privacy, social sorting and civil liberties. Enthusiasm for big data techniques and practices has opened the door to mass surveillance as the main means of monitoring and tracking populations in order to manage and influence them.
If we go by the name, it should be computing done on clouds, well, it is true, just here we are not talking about real clouds, cloud here is a reference for the Internet. So we can define cloud computing as the delivery of computing services—servers, storage, databases, networking, software, analytics, intelligence and moreover the Internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale.
Business Intelligence (BI) is a method or process that is technology-driven to gain insights by analyzing data and presenting it in a way that the end-users (usually high-level executives) like managers and corporate leaders can gain some actionable insights from it and make informed business decisions on it.