In Terms Of Big Data What Is Variety?
In considering what is variety in terms of big data the term unstructured data has a familiar ring to it. It has been noted that there are times when the actual collection of structured data is deemed inefficient. This is where substitute products are utilized in order to fulfill the need of consumers. When it comes to selection one should remember that it should be selected with care.
The term unstructured or basic data has a specific meaning in scientific domains. In these domains, it is assumed that whatever can be stated in simple English will also fit into the category of real life. Here we are assuming that consumers wish to purchase products such as cars. As it turns out, this assumption may be flawed. Cars are not a product that is easily sold as it involves complicated features. Hence the question emerges as to whether there is a need to select one that can be fit into the big data set.
One should not forget that there are times when in terms of big data what is variety means that there is less of redundancy in terms of structured data. This means that data which can be fit into the database and is retrievable in simple terms is termed as unstructured data. When it comes to select one from this big data, one must consider the fact that it is less reliable and hence a lot of care needs to be exercised in its selection.
Let us look at an example. There are two sources of water, which we need for daily consumption. They are clean and suitable for consumption. It is presumed that there will be a high correlation between the quantity of clean water needed and the cost of production. So there would be a certain relationship between the quantity of data that will be collected, the selection process involved and hence the cost per sample. We will see this when selecting one from the set.
If the selection is made based on the amount of water used, the cost per sample will be high. This is because there will be a high number of impurities in the water. The impurities will be very low in terms of molecular weight and the sample will be required for analysis. In such a case, the user may not be able to make a rational decision regarding the choice of water source.
This is the same case when the user makes a selection on the basis of the price of the water. The end result will again be the same since the selection will be on the basis of a high level of data but will also include a lot of impurities. So the question to answer here is what is variety in terms of the data that we need for any efficient analysis?
Since the need for effective water analysis is very high and hence there is a great scope of providing economical solutions, the market has now provided with multiple tools that are meant for taking out data that meets the needs of water analysis. For instance, there are different software packages that help in carrying out water analysis. The user can select one of them and carry out water analysis just by installing it in his system. Once this is done, the user gets to have the availability of water analysis along with other useful information.
The affordability of data analysis depends on the quality of the package. If you want to get hold of reliable big data, then you need to select one from reliable companies like Sybase, Hologic and sigma-family of technologies. Apart from them, there are the Ocean Surface Topography Method and borehole technology that help in evaluating the quality of water and soil samples. Hence, the user needs to understand his requirement first and accordingly select one of the packages. So, this article has provided a brief insight in terms of big data and its various uses in today’s time.