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I usually use file system to manage data for my deep learning model, but one of my boss told me to make nosql database to manage data.

Datasets I use have m rows, and n columns of count matrix and column, and row names (over 30000 rows, over 30000 columns for each dataset)

I haven't used nosql database unfortunately. So I tried mongodb to make data model that can save column names, and gene names, and count matrix in one document, which causes size limit error.

What kind of approach should I take? Or is there any tips that you manage your data rather than through nosql?

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  • The way data are structured in NoSQL is very different vs. SQL (e.g. relational) database; it is a long story, so better seek some professional help or tutorials to understand. – lpounng Aug 16 '23 at 08:08

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