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Difference between a Job that is tied to a Project vs Recipe + Dataset

0

When you create a job you can associate it with a project OR specifically enter the dataset and recipe to be used.
Say we have Project_A that uses Recipe_A and Dataset_A.
What would be the difference of creating a job by using Project_A vs specifying Recipe_A + Dataset_A.
Would they be identical?

Sujets
Analytique
Balises
AWS Glue DataBrew
Langue
English
demandé il y a 5 ans363 vues
2 réponses
0

The main difference is in the use case, whether you're in an experimental phase of building up a recipe and trying it out (via a project job) or operationalizing (via a standalone recipe job).

A standalone recipe job (Recipe_A + Dataset_A) also requires that your recipe is published - 1.0, 2.0, etc. With the project job DataBrew implicitly creates a snapshot of the Working version of the recipe as a new minor version - 0.2, 0.3, etc

Hope this helps clarify!

  • Romi
répondu il y a 5 ans
0

This makes sense -- thanks for the reply!

répondu il y a 5 ans

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