Big Data

  • You might discuss other potential or already existing use casesFlightradar24 is a great sample to show real-time aircraft flight information on a map by big data. It includes flight tracks, origins and destinations, flight numbers, aircraft types, positions, altitudes, headings and speeds. It can also show time-lapse replays of previous tracks and historical flight data by airline, aircraft, aircraft type, area or airport. Flightradar24 aggregates data from different sources:
    • The main source is a large number of ADS-B ground receivers,
      That collect data from any aircraft in their area that are equipped with an ADS-B transponder and feed the data to the Internet in real time.
    • The second source is multilateration using Flightradar24 (FR24) receptors.
      At least four receivers are required to calculate the position of an aircraft.


  • Take a look (and discuss) the Google / Nest case provided as paper 1,

Google Nest is an excellent example of an Internet business object that is coming up with products that have the potential to simplify or improve our lives, but accompanied by their own set of problems emerging in terms of confidentiality and data security. Google Nest is an electronic, programmable thermostat and self-learning to optimize heating and cooling homes and businesses to conserve energy.Now with the launch of its latest products, Nest hopes to save lives and make users safer by the Nest Protect smoke alarm system and WiFi enabled home surveillance cameras.All this is possible based on Big Data and analysis – algorithms of the software used by the devices to monitor and record how they are used, building a profile that allows them to “define” themselves intelligently .

  • What other implications can you think of or foresee?

I could see two implications in big data industry, which will become a serious issue if we don’t get a proper solution to count with.

  1. Big data and privacy
    In fact, the battle for privacy has already been fought and lost – personal data are regularly collected and traded in the new economy and there are few effective controls on how it is used or set. There’s already the black market operators that make millions of dollars a year out of things like identity theft and matching disparate data sets across the web to help identify people who might be suitable targets for a scam.
  2. Ethical risks of big data
    The big data owner should develop a code of conduct prior to data analysis. This code of conduct should contain a list of principles that describe what the business is appropriate and inappropriate, a process that describes the ethical checks and balances when driving big data analysis, the legal implications, if the intended use data is the way it is actually being used, and whether the organization would be comfortable if the results of it became public.
  • Are all implications, positive or are some threatening?

Big data have both positive and negative social consequences. We understand that large data relate to the economy, because it can be a catalyst for innovation, particularly when new business models require the development of integrated strategies for deriving the value of big data and to capture the efficiency of large data across a number of sectors. However, concerns of privacy are high along the side of these positive effects.

Big data practices such as transparency, profiling and tracking, reuse and unintended secondary use of data, open access, and data access levels raise social and ethical issues such as trust, discrimination, unequal access, confidentiality, exploitation and manipulation. All these issues are involved with large data because the large data practices treat private data, and this human element reflects social and individual moral codes. These questions require recognition so that large enterprises and data organizations can incorporate fundamental social and ethical values in large practices and data policies. Political issues in large data revolve around the changing balance in relations between states, businesses and citizens because the large data serious impact on the balance of power between politicians and citizens and between states and societies.

  • Are “big” data the right term?

Personally, I like the term of big data which describe petabytes and Exabytes of data, much of which cannot be integrated easily. Another reason I accept it, is contrasted with “small” data, that volume and format is small enough for human comprehension.

Finally, I would like to share an interesting episode on YouTube talking about big data issues and implications.


The nest is learning thermostat (2015) review

Confronting the privacy and ethical risks of Big Data\

‘Small Data’ Analysis the Next Big Thing, Advocates Assert


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