When it comes to the information technology industry, you will see that the concept ‘big data’ is making a lot of buzz. 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. What then becomes challenging will be the taking of measurement of data that is not static. If you say non-static, you are referring to some things that are changing at a constant pattern and in bigger volumes and rates in real time. 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. If you want to learn more about big data, do not forget to look into the following characteristics for them.
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 is proven to be very helpful in finding out what the date is all about and what might be associated with it. Such data has been proven to be very beneficial among these people for use to their own advantage in more ways than one. Knowing how fast the data will be processed and generated if it is useful enough is also the doing of velocity. For data analysts, you can find in them the crucial role that variability plays as well. And last, veracity is about what quality the data captured has. The veracity of your big data will be identified based on how accurately the data analysts have done an analysis of your veracity.
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