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Questions mostly concerned with managing data, without focus on pre-processing or modelling.
7
votes
4
answers
372
views
Docker for data science
To me, in data science, Docker is useful because:
1) You have a totally different environment, which protect you against libraries and dependencies problems.
2) If your application modify, for example … Are there other reasons why Docker is useful in Data science??
I don't find a lot of interesting research papers about Docker for data science. Do you know some famous ones? …
1
vote
0
answers
34
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System administration skills for data engineering [closed]
As a data scientist student, I will do an internship with a lot of data engineering tasks.
It would be good if I had some initiation skills in sys-admins. … (I know that their data are on AWS)
Thanks a lot !! …