Management of Engineering and Technology
Big data -- Analysis, Data analytics, Technology -- Management
In the early 2000s, the proliferation of data volume led organizations’ information technology departments to get in a critical situation in terms of data scalability. This was due to the insufficiency of available hardware connected to storage and CPU in dealing with catapulting data volumes. Technology however, bounced back in the following years thanks to Moore’s law  leading to the production of faster, smarter, bigger (In terms of capacity) and cheaper CPUs and storage. These breakthroughs in technology enabled companies to embrace the high data volume to their advantage. At the time, the outcomes of technology could be seen anywhere; cellphones and laptops were inseparable from people, and IT systems were being used in back offices in most companies. The focus on information itself however was minimal before that. Decades after computers had become ubiquitous, the accrued data and speed at which it was being produced led areas such as astronomy and genomics to make use of it and turn those quantitative shifts into qualitative ones by gaining new insights . In the same time-frame, the term “Big Data” was coined. Big Data is now being applied to many areas of human endeavor such as Healthcare, Politics, Retail habits, and advertising among many others.
Hanayneh, Shihab; Roschke, Jon; Salek, Sadaf; Shaygan, Amir; Suzuki, Juliana; and Valentine, Timothy, "Big Data Analytics" (2016). Engineering and Technology Management Student Projects. 24.