[DOCS] Adds screenshot for Data Visualizer (#25182)

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Lisa Cawley 2018-11-07 08:11:39 -08:00 committed by GitHub
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@ -7,42 +7,54 @@
As datasets increase in size and complexity, the human effort required to As datasets increase in size and complexity, the human effort required to
inspect dashboards or maintain rules for spotting infrastructure problems, inspect dashboards or maintain rules for spotting infrastructure problems,
cyber attacks, or business issues becomes impractical. The {xpackml} features cyber attacks, or business issues becomes impractical. The Elastic {ml-features}
automatically model the normal behavior of your time series data — learning automatically model the normal behavior of your time series data — learning
trends, periodicity, and more — in real time to identify anomalies, streamline trends, periodicity, and more — in real time to identify anomalies, streamline
root cause analysis, and reduce false positives. root cause analysis, and reduce false positives.
{xpackml} runs in and scales with {es}, and includes an The {ml-features} run in and scale with {es}, and include an
intuitive UI on the {kib} *Machine Learning* page for creating anomaly detection intuitive UI on the {kib} *Machine Learning* page for creating anomaly detection
jobs and understanding results. jobs and understanding results.
You can use the *Job Management* pane to create and manage jobs and their If you have a basic license, you can use the *Data Visualizer* to learn more
associated {dfeeds}: about the data that you've stored in {es} and to identify possible fields for
{ml} analysis:
[role="screenshot"]
image::ml/images/ml-data-visualizer-sample.jpg[Data Visualizer for sample flight data]
experimental[] You can also upload a CSV, NDJSON, or log file (up to 100 MB in size).
The {ml-features} identify the file format and field mappings. You can then
optionally import that data into an {es} index.
If you have a trial or platinum license, you can <<ml-jobs,create {ml} jobs>>
and manage jobs and {dfeeds} from the *Job Management* pane:
[role="screenshot"] [role="screenshot"]
image::ml/images/ml-job-management.jpg[Job Management] image::ml/images/ml-job-management.jpg[Job Management]
You can use the *Settings* pane to add scheduled events to calendars and to You can use the *Settings* pane to create and edit
associate these calendars with your jobs: {stack-ov}/ml-calendars.html[calendars] and the filters that are used in
{stack-ov}/ml-rules.html[custom rules]:
[role="screenshot"] [role="screenshot"]
image::ml/images/ml-calendar-management.jpg[Calendar Management] image::ml/images/ml-settings.jpg[Calendar Management]
The *Anomaly Explorer* and *Single Metric Viewer* display the results of your The *Anomaly Explorer* and *Single Metric Viewer* display the results of your
{ml} jobs. For example: {ml} jobs. For example:
[role="screenshot"] [role="screenshot"]
image::ml/images/ml-single-metric-viewer.jpg[Single Metric Viewer] image::ml/images/ml-single-metric-viewer.jpg[Single Metric Viewer]
NOTE: The {xpack} {ml} features in {kib} use pop-ups. You must configure your NOTE: The {kib} {ml-features} use pop-ups. You must configure your
web browser so that it does not block pop-up windows or create an exception for web browser so that it does not block pop-up windows or create an exception for
your Kibana URL. your {kib} URL.
For more information about {ml}, see For more information about {ml}, see
{xpack-ref}/xpack-ml.html[Machine Learning in the Elastic Stack]. {stack-ov}/xpack-ml.html[Machine learning in the {stack}].
-- --
include::creating-jobs.asciidoc[] include::creating-jobs.asciidoc[]
include::job-tips.asciidoc[] include::job-tips.asciidoc[]
//TO-DO: Add info about creating watch