Post by account_disabled on Feb 20, 2024 5:07:34 GMT -5
Big Data: the friendly face of a controversial term
Practically since its first formulation, the term Biga Data has generated great and strong controversies, many of them related to its possible applications outside the field of business. The arguments of the most critical voices with Big Data are closely related to a possible illegitimate use, and even with a fraudulent use of personal data housed in public and/or corporate databases, warning of the consequences that these applications can have, for example. For example, about privacy . However, and without detracting from the issue, Big Data also has a friendly face that never hurts to remember again. Big_Data-2 Big Data: improving well-being and safety A few weeks ago we discovered that the universe of Big Data applications and data analysis tools is practically unfathomable.
From scientific research to its use for humanitarian purposes , Big Data is not only synonymous with a threat to public privacy when it arises outside its original field of application (business). Of course, Big Data has a hidden side and some of its applications would not be desirable from an ethical point of view (sometimes, not from a legal point of view either). But this does not in itself represent an argument for its acceptance or non-acceptance; The debate on Big Data should not USA Student Phone Number List revolve around this issue since, today, its existence is an empirically incontestable (even necessary) reality . Big Data is not something that we should accept or repudiate, but the result of the latest technological advances that, like other progress of this nature, require that we learn to manage and exploit them properly . For this reason, it is necessary to know both the positive and negative aspects (which there are) of Big Data in terms of its possible applications, noting to what extent analyzing its negative uses can lead to discovering its positive counterpart.
Let's take an example of security and privacy protection , a matter on which a good number of experts have spoken. According to many of them, the risk of non-consensual access to personal data housed in large databases by private organizations and public agencies, and its consequent illegitimate use, certainly exists, but it is an implicit risk in the very existence of Big Data. . At the same time, they highlight that this fact fosters a necessary legal debate, which leads to the approval of laws for the protection of intimacy and privacy ; This debate also stimulates research and improves general knowledge about Big Data , promoting the development of a wide range of solutions that, based on the analysis of large volumes of data, serve to improve the level of well-being and security of the entire population. population. This greater knowledge also prevents, on the other hand, the myths that have proliferated around Big Data from finding an echo among the audience. And precisely on this issue is an essential resource to learn to discard poorly founded information: the guide The 15 Myths of Big Data , available completely free in our guides and eBooks section.
Practically since its first formulation, the term Biga Data has generated great and strong controversies, many of them related to its possible applications outside the field of business. The arguments of the most critical voices with Big Data are closely related to a possible illegitimate use, and even with a fraudulent use of personal data housed in public and/or corporate databases, warning of the consequences that these applications can have, for example. For example, about privacy . However, and without detracting from the issue, Big Data also has a friendly face that never hurts to remember again. Big_Data-2 Big Data: improving well-being and safety A few weeks ago we discovered that the universe of Big Data applications and data analysis tools is practically unfathomable.
From scientific research to its use for humanitarian purposes , Big Data is not only synonymous with a threat to public privacy when it arises outside its original field of application (business). Of course, Big Data has a hidden side and some of its applications would not be desirable from an ethical point of view (sometimes, not from a legal point of view either). But this does not in itself represent an argument for its acceptance or non-acceptance; The debate on Big Data should not USA Student Phone Number List revolve around this issue since, today, its existence is an empirically incontestable (even necessary) reality . Big Data is not something that we should accept or repudiate, but the result of the latest technological advances that, like other progress of this nature, require that we learn to manage and exploit them properly . For this reason, it is necessary to know both the positive and negative aspects (which there are) of Big Data in terms of its possible applications, noting to what extent analyzing its negative uses can lead to discovering its positive counterpart.
Let's take an example of security and privacy protection , a matter on which a good number of experts have spoken. According to many of them, the risk of non-consensual access to personal data housed in large databases by private organizations and public agencies, and its consequent illegitimate use, certainly exists, but it is an implicit risk in the very existence of Big Data. . At the same time, they highlight that this fact fosters a necessary legal debate, which leads to the approval of laws for the protection of intimacy and privacy ; This debate also stimulates research and improves general knowledge about Big Data , promoting the development of a wide range of solutions that, based on the analysis of large volumes of data, serve to improve the level of well-being and security of the entire population. population. This greater knowledge also prevents, on the other hand, the myths that have proliferated around Big Data from finding an echo among the audience. And precisely on this issue is an essential resource to learn to discard poorly founded information: the guide The 15 Myths of Big Data , available completely free in our guides and eBooks section.