Understanding Big Data Better
When it comes to the information technology industry, you will see that the concept ‘big data’ is making a lot of buzz. A lot of IT companies are always making mention of it more so just to impress others even if they do not have the slightest of ideas what the entire concept is all about. Most of the time, the term is misconstrued, and it has become a major gimmick to market the company in more ways than one. 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 help in calculating what exact distance can be obtained from the West Coast to the East Coast of the country. This is a very important development in the world and has been used in a wide range of technologies in the lives of people. The only problem with measuring and calculating everything and anything there is now will be the non-static data. 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. 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. 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. 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 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. 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. 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.