Paul B. Goes covered it all in his editorial: 'Big Data and IS Research', MIS Quarterly, 38 (3). As a Big Data researcher and practitioner, I find the editorial quite resourceful.
Please have a look at our paper : https://www.researchgate.net/publication/263010361_Data_science_and_distributed_intelligence_Recent_developments_and_future_insights
Chapter Data Science and Distributed Intelligence: Recent Developmen...
see the answer lies in from which point of view are you looking at. because in big data data you may work on different area of problems like,
big data analytics: in which you need to develop new algorithms and techniques by which you can improve the performance of existing analytics platforms like hadoop mapreduce, etc,
big data security: in which you need to provide some mechanism using which data can be protected from unauthorized as well as in some case authorized access.
big data privacy: in which you need to provide user a control of their information in such a way that user feels that his/her information is not being misused.