[DOCS] Revises doc on adding data (#68038)

* [DOCS] Revises doc on adding data

* Update docs/setup/connect-to-elasticsearch.asciidoc

Co-authored-by: debadair <debadair@elastic.co>

* Update docs/setup/connect-to-elasticsearch.asciidoc

Co-authored-by: debadair <debadair@elastic.co>

* Update docs/setup/connect-to-elasticsearch.asciidoc

Co-authored-by: debadair <debadair@elastic.co>

* Update docs/setup/connect-to-elasticsearch.asciidoc

Co-authored-by: debadair <debadair@elastic.co>

* Update docs/setup/connect-to-elasticsearch.asciidoc

Co-authored-by: debadair <debadair@elastic.co>

* Update docs/setup/connect-to-elasticsearch.asciidoc

Co-authored-by: debadair <debadair@elastic.co>

* Update docs/setup/connect-to-elasticsearch.asciidoc

Co-authored-by: debadair <debadair@elastic.co>

* [DOCS] Minor edits to add data doc

* [DOCS] Incorporated review comments

* [DOCS] Incorporates review comments

* [DOCS] Removes link to advanced settings

Co-authored-by: debadair <debadair@elastic.co>
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[[connect-to-elasticsearch]]
== Connect Kibana with Elasticsearch
== Adding data
Before you can start using Kibana, you need to tell it which Elasticsearch indices you want to explore.
The first time you access Kibana, you are prompted to define an _index pattern_ that matches the name of
one or more of your indices. That's it. That's all you need to configure to start using Kibana. You can
add index patterns at any time from the <<settings-create-pattern,Management tab>>.
To start working with your data in {kib}, you can:
TIP: By default, Kibana connects to the Elasticsearch instance running on `localhost`. To connect to a
different Elasticsearch instance, modify the Elasticsearch URL in the `kibana.yml` configuration file and
restart Kibana. For information about using Kibana with your production nodes, see <<production>>.
* Upload a CSV, JSON, or log file with the File Data Visualizer.
To configure the Elasticsearch indices you want to access with Kibana:
* Upload geospatial data with the GeoJSON Upload feature.
. Point your browser at port 5601 to access the Kibana UI. For example, `localhost:5601` or
`http://YOURDOMAIN.com:5601`.
+
image:images/Start-Page.png[Kibana start page]
+
. Specify an index pattern that matches the name of one or more of your Elasticsearch indices. The pattern
can include an asterisk (*) to matches zero or more characters in an index's name. When filling out your
index pattern, any matched indices will be displayed.
. Click *Next Step* to select the index field that contains the timestamp you want to use to perform time-based
comparisons. Kibana reads the index mapping to list all of the fields that contain a timestamp. If your
index doesn't have time-based data, choose *I don't want to use the Time Filter* option.
+
. Click *Create index pattern* to add the index pattern. This first pattern is automatically configured as the default.
When you have more than one index pattern, you can designate which one to use as the default by clicking
on the star icon above the index pattern title from *Management > Index Patterns*.
* Index logs, metrics, events, or application data by setting up a Beats module.
All done! Kibana is now connected to your Elasticsearch data. Kibana displays a read-only list of fields
configured for the matching index.
* Connect {kib} with existing {es} indices.
If you're not ready to use your own data, you can add a <<get-data-in, sample data set>>
to see all that you can do in {kib}.
[float]
[[explore]]
=== Start Exploring your Data!
You're ready to dive in to your data:
[[upload-data-kibana]]
=== Upload a CSV, JSON, or log file
* Search and browse your data interactively from the <<discover, Discover>> page.
* Chart and map your data from the <<visualize, Visualize>> page.
* Create and view custom dashboards from the <<dashboard, Dashboard>> page.
To visualize data in a CSV, JSON, or log file, you can
upload it using the File Data Visualizer. On the home page,
click *Import a CSV, NDSON, or log file*, and then drag your file into the
File Data Visualizer. You can upload a file up to 100 MB.
For a step-by-step introduction to these core Kibana concepts, see the <<getting-started,
Getting Started>> tutorial.
[role="screenshot"]
image::images/add-data-fv.png[File Data Visualizer]
The File Data Visualizer uses the {ref}/ml-find-file-structure.html[find_file_structure API] to analyze
the uploaded file and to suggest ingest pipelines and mappings for your data.
NOTE: This feature is not intended for use as part of a
repeated production process, but rather for the initial exploration of your data.
[float]
[[upload-geoipdata-kibana]]
=== Upload geospatial data
To visualize geospatial data in a point or shape file, you can upload it using the <<geojson-upload, GeoJSON Upload>>
feature in *Elastic Maps*, and then use that data as a layer in a map.
The data is also available for use in the broader Kibana ecosystem, for example,
in visualizations and Canvas workpads.
With GeoJSON Upload, you can upload a file up to 50 MB.
[role="screenshot"]
image::images/fu_gs_select_source_file_upload.png[]
[float]
[[add-data-tutorial-kibana]]
=== Index metrics, log, security, and application data
The built-in data tutorials can help you quickly get up and running with
metrics data, log analytics, security events, and application data.
These tutorials walk you through installing and configuring a
Beats data shipper to periodically collect and send data to {es}.
You can then use the pre-built dashboards to explore and analyze the data.
You access the tutorials from the home page.
If a tutorial doesnt exist for your data, go to the {beats-ref}/beats-reference.html[Beats overview]
to learn about other data shippers in the Beats family.
[role="screenshot"]
image::images/add-data-tutorials.png[Add Data tutorials]
[float]
[[connect-to-es]]
=== Connect with {es} indices
To visualize data in existing {es} indices, you must
create an index pattern that matches the names of the indices that you want to explore.
When you add data with the File Data Visualizer, GeoJSON Upload feature,
or built-in tutorial, an index pattern is created for you.
. Go to *Stack Management*, and then click *Index Patterns*.
. Click *Create index pattern*.
. Specify an index pattern that matches the name of one or more of your Elasticsearch indices.
+
For example, an index pattern can point to your Apache data from yesterday,
`filebeat-apache-4-3-2022`, or any index that matches the pattern, `filebeat-*`.
Using a wildcard is the more popular approach.
. Click *Next Step*, and then select the index field that contains the timestamp you want to use to perform time-based
comparisons.
+
Kibana reads the index mapping and lists all fields that contain a timestamp. If your
index doesn't have time-based data, choose *I don't want to use the Time Filter*.
+
You must select a time field to use global time filters on your dashboards.
. Click *Create index pattern*.
+
{kib} is now configured to access your {es} indices.
Youll see a list of fields configured for the matching index.
You can designate your index pattern as the default by clicking the star icon on this page.
+
When searching in *Discover* and creating visualizations, you choose a pattern
from the index pattern menu to specify the {es} indices that contain the data you want to explore.