What Research About Data Can Teach You

What You Should Know About Big Data

If you have been exposed in the IT industry for a long time, then there is no doubt that you have heard the words ‘big data’. You might have heard about this term because a lot of people in the IT industry are making a bigger buzz about it just to impress other people usually without them even knowing what it means exactly. Most companies use this concept as a marketing trick and even utilized out of context. Luckily, you can learn what you can about big data here and then learn more of its being useful in being used as a tool to solve a number of problems.

Mathematics and Physics are the two things that can give people the exact information about the distance between the East Coast to the West Coast. These two things have made it very much possible for the great achievements that are being used across technologies as people live their lives on a daily basis. The only problem with measuring and calculating everything and anything there is now will be the non-static data. The term non-static is employed among objects and things that get to constantly change in real time at volumes and rates that are bigger than anyone can imagine. Utilizing some computers seems to be the only viable option in being able to process such crucial date.

Based on findings of data scientists working for IBM, they have concluded that there are four aspects of big data, namely variety, veracity, volume, and velocity. However, there is still more to big data than those four aspects. Here are some of the descriptions of big data that you need to know.

To ascertain if the data that you have is called big data, its volume will be assessed that is its data size to ascertain what its potential and value are. Data analysts will then do the task of identifying the variety of your data or the category in which it is a part of so that better assessment of the big data will be determined. This aids in the people who are the ones assigned in associating the data and then analyzing them to the best of their intentions. This data helps in letting the people utilize such data to their own advantage and thus, putting more importance to this particular data. Knowing how fast the data will be processed and generated if it is useful enough is also the doing of velocity. Variability will be another factor worthy of consideration among data analysts. The quality of the captured data will then be identified as the aspect of veracity is being kept in mind. For accurate assessment of your big data quality, it will have to depend on how much veracity your source data has.

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