Which of These Best Defines Big Data?
Which of the following best defines big data? The answer, as we look into its definition is that there are two answers to this question. The first answer is that it is nothing at all and the second answer is that it is one of the most important things in our lives and must be dealt with accordingly.
So which of the following best defines big data? In simple terms, we can say that it is an information system. Information is considered big data if it is more than terabytes. Today’s massive amounts of data, whether it is from natural, social, financial, or scientific databases, is what constitutes big data. Big data thus refers to the phenomenon of collecting and organizing large amounts of information. This phenomenon is very important for several reasons.
The first reason why this phenomenon is important is because it presents the opportunity to explore new systems. We now know that a database approach which defines big data does not necessarily contain data which is static. A database approach is based on the idea of adding to and taking from the information in the system at periodic time scales. This gives rise to a dynamic database approach. What this means is that a dynamic database approach can change over time and this fact allows users to take advantage of this fact.
For example, if a database contains data that was updated some time ago but which has not been altered, a user can use this information to obtain information which was newly added in the system. If a user accesses a table that was created yesterday and which contains old data that needs updating, he/she can use this information to create a new key in the table which represents current information. Through this process, the amount of work which needs to be performed changes and therefore the amount of money that need to invest. Hence the question of which of the following best defines big data is also relevant. If a company invests money in a new system which contains new data, which will have to be updated at regular intervals, then obviously this will represent a big advantage to the company.
Now consider the second question more precisely. Is there an advantage in developing a (n) system which cannot be changed? It may sound like a rhetorical question, but the truth is that once we start developing systems which cannot be changed, we spend a lot of time, energy and money in doing so. The entire business cycle can become very complex and it takes a lot of resources to make it work. In other words, a business that spends its time and energy in developing a system which cannot be changed becomes inefficient. We are already facing this problem with software systems.
Now consider the third question more precisely. Is there an advantage in developing a (n) new system which is not dependent on the existing one? Again, this may sound like a very odd question. However, if we take into consideration the fact that a primary key or password is used to access data, then the fact that the existing primary key or password is no longer required to access data stored on-line in the cloud and is being replaced by a new primary key or password, clearly points to a need for change. Such a need would clearly indicate that some kind of change is necessary, whether it is a (n) secondary key or password, or a new system.
Finally, consider the fourth question more precisely. Is there an advantage in developing a (n) data type which is used to describe what a user accesses? Again, this may sound like a strange question. But if we take into consideration the fact that a primary key or password is used to access data, and if we take into account the fact that a (n) user may change this primary key or password on a regular basis and therefore his or her access to data also changes on a regular basis, then it seems to follow that such a data type would provide a better user experience than the currently available (a) primary key/ password based model.
In summary, we have found three questions which are perhaps the most important which define what Big Data is and what it can do for you. First, does Big Data provide value? Second, does it provide security? Third, can it be made more efficient or reliable? We believe that the answers to both these questions are yes.