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Important Things to Remember 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. Good thing all the answers to most questions people have on big data will be answered here along with how they can be used to find a solution for most complicated 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. This is a very important development in the world and has been used in a wide range of technologies in the lives of people. What then becomes challenging will be the taking of measurement of data that is not static. What makes non-static data very difficult to obtain is their being able to change rapidly in volumes and rates that get to happen constantly and in real time. The best method to obtain such a particular kind data will be with the use of computers.

According to IBM data scientists, big data can be broken down into four aspects, they are called veracity, velocity, variety, and volume. But then, big data cannot just be classified into these four factors, there are still other factors that are part of it. What you will see after are the identifying characteristics that make big data what it is now and what it entails.

One of the ways to find out about your data being really called big data is to take a look at its volume and analyze its sized in association with potential and value if it is really to be called big data. With the classification of variety, this is the identification where your data is a part of in terms of category that is being determined by the data analysts. This is beneficial for the people who are associated with it and are the ones assigned in doing the data analysis. Such data has been proven to be very beneficial among these people for use to their own advantage in more ways than one. Velocity is the aspect that deals with determining how fast the date is processed and generated to become useful. Variability will be another factor worthy of consideration among data analysts. And last, veracity is about what quality the data captured has. 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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