Understanding Big Data Better
The term ‘big data’ has become a huge trend in the world of information technology. 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. Its real meaning gets lost because of it becoming a major gimmick being used by most companies to lure more customers to make deals with them. 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. The everyday lives of people have been greatly affected and influenced positively by these achievements in science. What then becomes challenging will be the taking of measurement of data that is not static. 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.
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.
In terms of volume, this is the data size that will determine if the potential and value of your data can really be thought of as being big data or not. 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 proven to be very helpful in finding out what the date is all about and what might be associated with it. This must be done by these people in order for them to give more value to their data as well as be able to use what they have obtained effectively and to their benefit. 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. The veracity of your big data will be identified based on how accurately the data analysts have done an analysis of your veracity.