Question 1

Is data modeling difficult?

Accepted Answer

Data modeling is not easy to learn. This job requires a clear understanding of the entire data organization process. So, it needs multidimensional skills with a high level of learning. But, with a firm determination, one can acquire the necessary skills.

Question 2

Is data modeler the same as data analyst?

Accepted Answer

Though there are some common skills between them, the job roles for these two professionals are different. Data analysts make use of statistical knowledge for data interpretation whereas data modelers make use of logic to establish relations between data sets.

Question 3

What is granularity in data modeling?

Accepted Answer

Granularity refers to the specific size that data fields are split into. So, it is the information that does not have any further subdivisions. It is the lowest level of raw data that cannot be broken down further.

Question 4

What is data sparsity in data modeling?

Accepted Answer

Data sparsity refers to datasets in which the majority of the values are zero or missing. So, when zero values are more than non-zero values, it indicates the dataset contains insufficient information for data processing. Such inconsistencies in data can affect the accuracy of the analysis results.

Question 5

What do you mean by NoSQL database?

Accepted Answer

Just as SQL databases are in tabular form, NoSQL databases are non-tabular. Secondly, the data points in NoSQL are not related to one another. So, with its flexibility and ease, NoSQL provides better performance for large datasets.

How to Become Data Modeler in 2024

English Writing Course