Understanding Big Data Better
The term ‘big data’ has become a huge trend in the world of information technology. You can see that there are just a lot of people who make mention of this concept just to get a better image in the world of information technology even if they are at a loss for words when asked more to expound about the topic. 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. 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 remains as a challenge will then be getting the measurements using 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.
Big data is made up of four dimensions based on the studies done by IBM data scientists starting with volume, velocity, veracity, and variety. And yet, these four aspects are not just what big data is all about. Here are some of the descriptions of big data that you need to know.
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. 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. For accurate assessment of your big data quality, it will have to depend on how much veracity your source data has.