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Big Data Definition:

Big data is data that is very large in size. Typically so large that manipulating the data with traditional data processing tools becomes a challenge. However, it is subjective how big data is considered big data. Big data can also be defined as the ability to use data in novel ways to gain new insights or to create goods and services of value to society. Big data is data that can come from many different sources such as sensors, social media posts, digital pictures, videos etc. There are four key characteristics for big data: Volume, Velocity, Variety and Value.

References:
http://www.oracle.com/us/products/database/big-data-for-enterprise-519135.pdf
http://www-01.ibm.com/software/data/bigdata/
http://www.forbes.com/sites/gilpress/2014/09/03/12-big-data-definitions-whats-yours/

Ethics in Big Data:

Corporations and organizations are gathering vast amounts of data on people. It has been predicted by International Data Corporation (IDC) that in 2020 35 zetabytes of data will be collected. With so much data, including personal data being collected, there must be some ethical principles. There are few ways to do this: Users should have the power to decide how their data can be utilized if at all, organizations can incorporate better privacy setting in their systems and although big data might have its dark side users can also gain some value by allowing companies to have information on them. Such as getting better recommandations on services etc.

Reference:
http://www.technologyreview.com/news/424104/what-big-data-needs-a-code-of-ethical-practices/page/2/

Coursera Critical Thinking Statement of Accomplishment:

coursera_criticalthinking_2015_timo_r.pdf

Exam Questions:

exam_questions_timo_r.pdf