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And that was even before cloud computing, the practice of storing and accessing data using remote servers hosted on the internet which offers exceptional storage capability, which started its growth spurt in and became widespread in Due to the advanced machine-to-machine communication and the increasing number of objects which have the Internet of Things qualities such as embedded sensorsmore and more tiny bits of data are transmitted by the second. Additionally, people produce a massive amount of data each day, for example Facebook users are said to upload over million photos every day.
Since the data comes from very different sources, it can be in the form of emails, numeric data, video or something else. Additionally, although some of the data might be structured, most of it is not and thus is more difficult to manage and analyse.
Considering the aforementioned, it can be easily agreed upon that more data is collected, stored and managed than ever before. While there are some issues related to additional storage capacity, it is not even close to being the most actual question about Big Data.
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The objective of most discussions and developments is finding the best way to extract knowledge from Big Data and use it as an accelerant to innovation. Having access to large amounts of data is only half the victory, since not all of it is useful and the parts that are can be as difficult to find as a needle from a haystack. However, once that needle is found, possibilities are endless. The extraction of value from Big Data requires vastly intelligent software packages, which can perform extensive search operations to retrieve intended results.
After that, said results need to be analysed to identify trends, quite often as fast as to allow real-time response.
This process mostly is and should be automated as otherwise it would be highly labour-intensive. In his article in Huffington Post, entrepreneur James Canton stated that autonomous decision-making is becoming the norm.
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Additionally, he brought out that although identifying trends is useful, extracting meaning to advise us and determine better outcomes faster may be possible by combining Big Data with artificial intelligence. Kazkaip skamba kaip isizeidusio senuko ispazintis. Justinas - 10 19, Galiu pasakyti, kad avialinijos brandas yra beveik last thing.
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