Transformative Effects of Big Data on Advanced Data Analytics: Open Issues and Critical Challenges

We are living in the period of the information era (i.e., where data/information is the new oil for companies/industries). The term big data had been authored to depict this age. This study characterizes a lot on the idea of big data and its progress over the previous decade to till date. This study presents the meaning of this new idea and its qualities and additionally examines a few different things identified with few interesting issues. In big data, it is found that vulnerability can be taken care of physically or consequently (distinguishing proof or potentially separation of irregularities). Around 7 V's of big data, speed, gazetteers, and information bases should be persistently refreshed and information handled can be occasionally (at the standard time). It is found that in an event it is required to handle assortment, manage different information designs (tweets and regular language messages), and circulated information. To handle/tackle issues in sectors like medical science, agriculture, business, online trade, transportation, etc., big data role is essential. Smart things which are producing big data (through their communications) require analysis of this data for making effective solutions to such real-time applications. Hence, this study discusses work done towards big data concerning its current status, challenges to security and privacy, and future directions. In the last, this study may lead future researchers to a different potential of applications and research.