Is data modeling difficult?

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.

Is data modeler the same as data analyst?

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.

What is granularity in data modeling?

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.

What is data sparsity in data modeling?

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.

What do you mean by NoSQL database?

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.

Vinod Nair, Author at Henry Harvin Blog

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Vinod Nair

I am an M.Com professional with a rich banking experience of 28 years. With my deep passion and fascination for writing, I decided to convert my passion into my profession. Hence, I switched over to the field of content writing. Currently, I am pursuing a Post Graduation in Content Writing from Henry Harvin Education. I have obtained certification for Content Writing, Creative Writing and Technical Writing courses. The courses on Medical Writing, Digital Marketing and Copywriting are in progress.