Understanding Big Data Better
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. 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. Fortunately, this article will give you a better explanation of what the entire concept of big data really entails and how it can be used to resolve 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.
According to IBM data scientists, big data can be broken down into four aspects, they are called veracity, velocity, variety, and volume. 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.
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 big data, data analysts must make sure to look at what classification the data is a part of and this the aspect of variety. This is beneficial for the people who are associated with it and are the ones assigned in doing the data analysis. 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. The quality of the captured data will then be identified as the aspect of veracity is being kept in mind. The veracity of your big data will be identified based on how accurately the data analysts have done an analysis of your veracity.