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Homeworks (Vitor Meneguetti)

Big Data (Definition)

Big data is a huge amount of data that recent technologies are capable to explore it in order to extract useful information, for instance, patterns and connections between data.

https://www.oracle.com/big-data/index.html

http://www.microsoft.com/en-us/server-cloud/solutions/big-data.aspx

http://www8.hp.com/us/en/business-solutions/big-data.html

Big Data (Ethics)

Big data has no clear rules for ethical purposes yet. Since big data is a recent term, the rules to determine what is right and wrong have being determined as new cases appear. For instance, several websites have warned users about the use of cookies during the use of their pages.

Neil M. Richards and Jonathan H. King, Big Data Ethics. http://pacscenter.stanford.edu/sites/all/files/RIchards%20and%20King%20Ethics.pdf

Coursera Course Diploma

certificate_coursera_criticalthinking_2015_-_vitor_meneguetti.pdf

Questions

1. (Big Data) Do you think companies should collect data with secondary use of big data in mind? Why? - This question seems important since there are companies who think even in the secondary use such as Google, and others such as Amazon, according to the book, did not.

2. (Big Data) What is the criteria to consider an amount of data as Big Data? - Some authors seem to have different viewpoints. This question enables the responders to show how wide is their knowledge about this topic.

3. (Open Data) Do you think by now this kind of service (using Open Data) is a reality over the world or more United States? - This question raised since the book gives much more examples from United States. Anyway, according to some personal research and talks to people, it seems United States are several steps forward in this technology if compared to others.

4. (Open Data) Who is the owner of the data? User? Provider of the service? or who else? - This question seems a bit strange, but the besides the professor motivates the debate about subjects related to this, actually it is almost a philosophical question, that means it's not trivial.