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[DOCS] Updates to data frame transforms release highlight (#44907)
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docs/reference/release-notes/highlights-7.3.0.asciidoc

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@@ -131,15 +131,23 @@ similar level as what you could have on pre-6.0 releases.
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// end::notable-highlights[]
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// tag::notable-highlights[]
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[float]
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==== Data frame pivot transforms to create entity-centric indexes
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<<put-dfanalytics,Data frames>>, released in 7.2, allow to transform an
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existing index to a secondary, summarized index. 7.3 now introduces Data frame
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pivot transforms in order to create entity-centric indexes that can summarize
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the behavior of an entity. 
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NOTE: Data frames are only available with the default distribution of {es}.
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[discrete]
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[[release-highlights-7.3.0-transforms]]
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==== {dataframes-cap}: transform and pivot your streaming data
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beta[] {stack-ov}/ml-dataframes.html[{dataframe-transforms-cap}] are a core new
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feature in {es} that enable you to transform an existing index to a secondary,
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summarized index. {dataframe-transforms-cap} enable you to pivot your data and
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create entity-centric indices that can summarize the behavior of an entity. This
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organizes the data into an analysis-friendly format.
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{dataframe-transforms-cap} were originally available in 7.2. With 7.3 they can
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now run either as a single batch transform or continuously incorporating new
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data as it is ingested.
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{dataframes-cap} enable new possibilities for {ml} analysis (such as
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_outlier detection_), but they can also be useful for other types of
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visualizations and custom types of analysis.
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// end::notable-highlights[]
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