Talk:DataOps: Difference between revisions
Summarize issues with article |
Evanthomas1 (talk | contribs) →Seems like a promotional article: new section |
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Rectifying all of these issues will not leave much of an article left, hence merging into [[DevOps]] could be a very valid solution to this article. |
Rectifying all of these issues will not leave much of an article left, hence merging into [[DevOps]] could be a very valid solution to this article. |
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[[User:Ennui93|Ennui93]] ([[User talk:Ennui93|talk]]) 15:03, 4 April 2018 (UTC) |
[[User:Ennui93|Ennui93]] ([[User talk:Ennui93|talk]]) 15:03, 4 April 2018 (UTC) |
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== Seems like a promotional article == |
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This article is link heavy to "DataKitchen" and appears overly promotional. I suggest removing this section in IMPLEMENTATION: DataKitchen has published seven steps to implement DataOps which pertain to the optimization of workflow processes and the orchestration of the data analytics pipeline: |
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Revision as of 00:32, 27 June 2018
 | This article was nominated for deletion on 10 February 2017. The result of the discussion was merge to Devops. |
This is a term of art in analytics
see further references in main article
I'd like to propose that the article remain independent from DevOps. While DataOps incorporates DevOps it is not simply DevOps applied to Data Analytics. It also borrows methods from Agile development and lean manufacturing. Ddsterling63 (talk) 03:06, 24 August 2017 (UTC)
The article has several issues at present:
- The Ecosystem and Implementation sections are largely dominated by external links and lengthy quotations.
- Several other quotations, such as in the Goals and Philosophy require a rework.
- Sections such as the DataOps Manifesto and the The Role of DataOps Engineer are so sparse as to warrant removal.
Rectifying all of these issues will not leave much of an article left, hence merging into DevOps could be a very valid solution to this article. Ennui93 (talk) 15:03, 4 April 2018 (UTC)
Seems like a promotional article
This article is link heavy to "DataKitchen" and appears overly promotional. I suggest removing this section in IMPLEMENTATION: DataKitchen has published seven steps to implement DataOps which pertain to the optimization of workflow processes and the orchestration of the data analytics pipeline: