Principles Of Big Data Pdf Download

Principles Of Big Data Pdf Download

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Big data are not only a matter of volume. A large amount of data does not automatically make it suitable for big data applications. The volume, variety and velocity components increase the risk for data collection to become more intrusive. Furthermore, it is impossible to assume that all data are of equal relevance or that the data can be grouped in one single data set. A newly published study [9] shows that in many cases, a personal data set is not coherent at all: It is composed of multiple and conflicting data sets. We can distinguish different data types:

- Other data: The other data are collected by non-traditional sources, such as data produced by satellites, navigational devices, etc. If this data is processed, it is not clear who owns it. The data may not belong to a particular person, but they may belong to a group of people who are willing to share them. The processing of these data may help to protect individuals against data breaches.

- Personal data: The personal data is of different types such as: photos, memories, sketches, texts, videos, etc. Privacy issues arise if any of these data are processed, and the processing has become possible because an individual was willing to share them. Personal data are very sensitive and need to be handled with care. The data may not be useful for statistical purposes, but the mere fact that they are produced by an individual means that the data are intrinsically of high value.

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One of the drawbacks to this approach was that we needed to recompile every time we made even a small change to the code. This slowed everything else we were doing down and because we couldn't always have someone waiting for the application to finish building. 827ec27edc