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[DOCS] Updates to data frame transforms release highlight (#44907)

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Lisa Cawley 2019-07-29 09:45:09 -07:00 committed by GitHub
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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.
// end::notable-highlights[]
// tag::notable-highlights[]
[float]
==== Data frame pivot transforms to create entity-centric indexes
[discrete]
[[release-highlights-7.3.0-transforms]]
==== {dataframes-cap}: transform and pivot your streaming data
<<put-dfanalytics,Data frames>>, released in 7.2, allow to transform an
existing index to a secondary, summarized index. 7.3 now introduces Data frame
pivot transforms in order to create entity-centric indexes that can summarize
the behavior of an entity. 
beta[] {stack-ov}/ml-dataframes.html[{dataframe-transforms-cap}] are a core new
feature in {es} that enable you to transform an existing index to a secondary,
summarized index. {dataframe-transforms-cap} enable you to pivot your data and
create entity-centric indices that can summarize the behavior of an entity. This
organizes the data into an analysis-friendly format.
NOTE: Data frames are only available with the default distribution of {es}.
{dataframe-transforms-cap} were originally available in 7.2. With 7.3 they can
now run either as a single batch transform or continuously incorporating new
data as it is ingested.
{dataframes-cap} enable new possibilities for {ml} analysis (such as
_outlier detection_), but they can also be useful for other types of
visualizations and custom types of analysis.
// end::notable-highlights[]