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Big Data” is a hot-spot term related to extremely huge amount of data which is produced daily trough Internet, Cloud Computing, Mobile Network and Internet of Things by billion users all over the world. [3] “Online transactions, emails, videos, audios, images, click streams, logs, posts, search queries, health records, social networking interactions, science data, sensors and mobile phones and their applications” are all generate massive amounts of data daily which make it “difficult to capture, form, store, manage, share, analyze and visualize via traditional software tools” due to many limitations.[2] These are the most important challenges that scientists, practitioners of media and advertising and governments encounter them regularly.[4]

The most important issues of Big Data are Variety, Velocity and Volume. These three characteristics describe Big Data more accurately. “Variety” determine the various sources and categories that produce data. “Velocity” refers to speed of generating data, how fast we accumulate data, how fast the data is changing and how fast we can process it[1] and finally “Volume” means the size of data which nowadays is larger than exabytes and zettabyte. [2]

new technologies, application and rules need to tackle big data.


1. Kaisler, S., Armour, F. & Espinosa, A. 2013, “Introduction to Big Data: Scalable Representation and Analytics for Data Science Minitrack”, System Sciences (HICSS), 2013 46th Hawaii International Conference on, pp. 984.Link

2. Sagiroglu, S. & Sinanc, D. 2013, “Big data: A review”, Collaboration Technologies and Systems (CTS), 2013 International Conference on, pp. 42. Link

3. Wenjie Yang, Xingang Liu, Lan Zhang & Yang, L.T. 2013, “Big Data Real-Time Processing Based on Storm”, Trust, Security and Privacy in Computing and Communications (TrustCom), 2013 12th IEEE International Conference on, pp. 1784.Link

4. [Homepage of WiKiPedia], [Online]. Available: Link [2015, February,15].

Ethics in Big Data

Many big data applications will have unintended and unpredictable results as the data scientist seeks to reveal new trends and patterns that were previously hidden[3]. Corporations are using big data to learn more about their workforce, increase productivity, and introduce evolutionary business processes. Such monitoring might be in the best interest of a corporation but is not always in the best interest of the people who make these data[3].

Data and big data is morally neutral[1][2], but they can be abused[4]. We as human being all have values and we all do something like ethical decision analysis in our everyday lives. Big data technology’s speed and scale make it essential for organizations to carry out the process explicitly and transparently. Identity, privacy, ownership and reputation are core concepts of many ethical discussions that should be taken into consideration[2].


1. Booch, G. 2014, “The Human and Ethical Aspects of Big Data”, Software, IEEE, vol. 31, no. 1, pp. 20-22.

2. Mateosian, R. 2013, “Ethics of Big Data”, Micro, IEEE, vol. 33, no. 2, pp. 60-61.

3. Michael, K. & Miller, K.W. 2013, “Big Data: New Opportunities and New Challenges [Guest editors' introduction]”, Computer, vol. 46, no. 6, pp. 22-24.

4. Doug Cutting, Strata Confrence, 2014, Barcelona, Spain


Statement of Accomplishment: statement_of_accomplishment.pdf