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[DOCS] Adds Data frame transforms subsection to the ML section (#38899)
This PR adds creating-df-kib.asciidoc and two screenshots to the repository and changes docs/ml/index.asciidoc.
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docs/ml/creating-df-kib.asciidoc
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docs/ml/creating-df-kib.asciidoc
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[[creating-df-kib]]
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== Creating {dataframe-transforms}
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beta[]
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You can create {stack-ov}/ml-dataframes.html[{dataframe-transforms}] in the
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{kib} Machine Learning application.
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[role="screenshot"]
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image::ml/images/ml-definepivot.jpg["Defining a {dataframe} pivot"]
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Select the index pattern or saved search you want to transform. To pivot your
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data, you must group the data by at least one field and apply at least one
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aggregation. The {dataframe} pivot preview on the right side provides a visual
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verification.
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Once you have created the pivot, add a job ID and define the index for the
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transformed data (_target index_). If the target index does not exist, it will be
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created automatically. You can optionally select to create a {kib} index pattern
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for the target index. At the end of the process, a {dataframe} job is created as
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a result. After you create {dataframe} jobs, you can start, stop, and delete them
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and explore their progress and statistics from the jobs list.
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[role="screenshot"]
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image::ml/images/ml-jobid.jpg["Job ID and target index"]
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[NOTE]
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===============================
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If you want to use the {dataframe-transforms} feature, you must have the required
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user roles and permissions:
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* `data_frame_transforms_user`: to get transforms and transforms stats,
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* `data_frame_transforms_admin`: to create/start/stop/delete transforms,
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* read permissions and `view_index_metadata` on the source indices,
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* index and read permissions on the target index (if the target index does not
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exist, you need permission to create the index as well).
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===============================
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@ -72,4 +72,5 @@ For more information about {ml}, see
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include::creating-jobs.asciidoc[]
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include::job-tips.asciidoc[]
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include::creating-df-kib.asciidoc[]
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