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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? …
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  • 233
1 vote
0 answers
34 views

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 !! …
nolwww's user avatar
  • 233