The internet has revolutionized ICT and transformed many areas of our life as individual, has great implications on governments and governance, and has great implication on country’s development. Big data emerged in the new millennium as a result of ICT innovation from developer community, software engineers and designers, and scientists. Big data described as a collection of data so large and complex that it is difficult to process it using available database management tools. There are thousand and million dataset transferred and exchanged every single second on the superhighway. These wide and vast dataset is meaningless if we are not able to leverage from it.
This week reading catered discussion concerning the ability to interpret large dataset and vast quantities of information that being generates day-to-day basis using many internet giant platforms such as Twitter, Facebook, Google and others. The World Wide Web 2.0 has triggered the succession of emerging big data as its give people all around the world the ability to collaborate and sharing information online.
According to Dough Laney, today’s big data has three (3) characteristics which are: a) volume; b) velocity; and c) variety (Stanton, 2013). Volume because the scale of the data. Velocity because how fast the data is being transferred and variety because big data is including many different things, with data now coming from smartphones, social networking etc. Big data can be solved by IT community by simply improved code/ coding system (i.e.: OpenSource). However, big data can also be resolved by commercial tools that available in the market. Cogburn and Wozniak (2013) served as practical example how interpretation of large amount of information made possible by using computer-assisted analysis tool; ASSANA methodology. They analyzed large amount of government unstructured, text-based data on Data.gov, which is the Secretary of States speeches (Secretary Clinton, Secretary Rice and Sectary Albright) in shaping foreign policies priorities of the United States.
Both approaches in dealing with big data need one particular thing, which is requirement for in-depth analysis skills of massive, complex and complicated data. This brings to bigger discussion concerning challenges in managing big data such data mining, big data analytics and data management, which often, relates to country’s digital and ICT policies.
 Moore, B. (2013). Big data vs. big content. Aftermarket Business World. Vol. 12. Retrieved from http://search.proquest.com/docview/1437355765?accountid=8285