[DOCS] Add file size setting for Data Visualizer (#64006)

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Lisa Cawley 2020-04-21 09:35:19 -07:00 committed by GitHub
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You do not need to configure any settings to use {kib} {ml-features}. They are
enabled by default.
[float]
[[general-ml-settings-kb]]
==== General {ml} settings
@ -19,3 +18,11 @@ If set to `false` in `kibana.yml`, the {ml} icon is hidden in this {kib}
instance. If `xpack.ml.enabled` is set to `true` in `elasticsearch.yml`, however,
you can still use the {ml} APIs. To disable {ml} entirely, see the
{ref}/ml-settings.html[{es} {ml} settings].
[[data-visualizer-settings]]
==== {data-viz} settings
`xpack.ml.file_data_visualizer.max_file_size`::
Sets the file size limit when importing data in the {data-viz}. The default
value is `100MB`. The highest supported value for this setting is `1GB`.

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[partintro]
--
As datasets increase in size and complexity, the human effort required to
As data sets increase in size and complexity, the human effort required to
inspect dashboards or maintain rules for spotting infrastructure problems,
cyber attacks, or business issues becomes impractical. Elastic {ml-features}
such as {anomaly-detect} and {oldetection} make it easier to notice suspicious
activities with minimal human interference.
If you have a basic license, you can use the *Data Visualizer* to learn more
about your data. In particular, if your data is stored in {es} and contains a
time field, you can use the *Data Visualizer* to identify possible fields for
{anomaly-detect}:
{kib} includes a free *{data-viz}* to learn more about your data. In particular,
if your data is stored in {es} and contains a time field, you can use the
*{data-viz}* to identify possible fields for {anomaly-detect}:
[role="screenshot"]
image::user/ml/images/ml-data-visualizer-sample.jpg[Data Visualizer for sample flight data]
image::user/ml/images/ml-data-visualizer-sample.jpg[{data-viz} for sample flight data]
experimental[] You can also upload a CSV, NDJSON, or log file (up to 100 MB in
size). The *Data Visualizer* identifies the file format and field mappings. You
can then optionally import that data into an {es} index.
experimental[] You can also upload a CSV, NDJSON, or log file. The *{data-viz}*
identifies the file format and field mappings. You can then optionally import
that data into an {es} index. To change the default file size limit, see
<<data-visualizer-settings>>.
You need the following permissions to use the Data Visualizer with file upload:
You need the following permissions to use the {data-viz} with file upload:
* cluster privileges: `monitor`, `manage_ingest_pipelines`
* index privileges: `read`, `manage`, `index`
For more information, see {ref}/security-privileges.html[Security privileges]
and {ref}/built-in-roles.html[Built-in roles].
and {ml-docs}/setup.html[Set up {ml-features}].
--