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Big data Big Data

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Big Data is a surveillance AI created by the Galaxy Builders. The term Big Data has been emphasized recently but it was first used decades ago. Big Data refers to a technology phenomenon that has arisen since the mid-1980s. As computers have improved, growing storage and processing capacities have provided new and powerful ways to gain insight into the world by sifting through the infinite quantities of data available . Even tough in the last few years there were advances in Big Data applications, there is still a long way ahead. This is very challenging topic because as it was said before this data is not organized. Taking information out of this data, making it meaningful and producing knowledge is what really matters. Big data is big in two different senses. It is big in the quantity and variety of data that are available to be processed. And, it is big in the scale of analysis (termed "analytics") that can be applied to those data, ultimately to make inferences and draw conclusions. By data mining and other kinds of analytics, non‐obvious and sometimes private information can be derived from data that, at the time of their collection, seemed to raise no, or only manageable, privacy issues. Such new information, used appropriately, may often bring benefits to individuals and society. Even in principle, however, one can never know what information may later be extracted from any particular collection of big data, both because that information may result only from the combination of seemingly unrelated da If the number of data elements becomes higher, it becomes highly complicated to handle the data. One of the solution is to use packing techniques for statistical data information.

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If the number of data elements becomes higher, it becomes highly complicated to handle the data. One of the solution is to use packing techniques for statistical data information. Big data is big in two different senses. It is big in the quantity and variety of data that are available to be processed. And, it is big in the scale of analysis (termed "analytics") that can be applied to those data, ultimately to make inferences and draw conclusions. By data mining and other kinds of analytics, non‐obvious and sometimes private information can be derived from data that, at the time of their collection, seemed to raise no, or only manageable, privacy issues. Such new information, used appropriately, may often bring benefits to individuals and society. Even in principle, however, one can never know what information may later be extracted from any particular collection of big data, both because that information may result only from the combination of seemingly unrelated data sets, and because the algorithm for revealing the new information may not even have been invented at the time of collection. The same data and analytics that provide benefits to individuals and society if used appropriately can also create potential harms — threats to individual privacy according to privacy norms both widely shared and personal. For example, large‐scale analysis of research on disease, together with health data from electronic medical records and genomic information, might lead to better and timelier treatment for individuals but also to inappropriate disqualification for insurance or jobs. GPS tracking of individuals might lead to better community‐based public transportation facilities, but also to inappropriate use of the whereabouts of individuals. Big Data is a surveillance AI created by the Galaxy Builders. The term Big Data has been emphasized recently but it was first used decades ago. Big Data refers to a technology phenomenon that has arisen since the mid-1980s. As computers have improved, growing storage and processing capacities have provided new and powerful ways to gain insight into the world by sifting through the infinite quantities of data available . Even tough in the last few years there were advances in Big Data applications, there is still a long way ahead. This is very challenging topic because as it was said before this data is not organized. Taking information out of this data, making it meaningful and producing knowledge is what really matters.