[DOCS] Adds quick start (#78822)

* [DOCS] Getting started refresh

* Dashboard changes

* Discover and Dashboard changes

* [DOCS] Adds quick start

* Redirects

* Redirects pt 2

* Redirects pt

* More redirect issues

* Removed second chunk of KQL tasks

* Review comments

docs/getting-started/quick-start-guide.asciidoc

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+[[get-started]]
+== Quick start
+
+To quickly get up and running with {kib}, set up on Cloud, then add a sample data set that you can explore and analyze.
+
+When you've finished, you'll know how to:
+
+* <<explore-the-data,Explore the data with *Discover*.>>
+
+* <<view-and-analyze-the-data,Gain insight into the data with *Dashboard*.>>
+
+[float]
+=== Before you begin 
+When security is enabled, you must have `read`, `write`, and `manage` privileges on the `kibana_sample_data_*` indices. For more information, refer to {ref}/security-privileges.html[Security privileges].
+
+[float]
+[[set-up-on-cloud]]
+== Set up on cloud
+
+include::{docs-root}/shared/cloud/ess-getting-started.asciidoc[]
+
+[float]
+[[gs-get-data-into-kibana]]
+== Add the sample data
+
+Sample data sets come with sample visualizations, dashboards, and more to help you explore {kib} without adding your own data.
+
+. From the home page, click *Try our sample data*.
+
+. On the *Sample eCommerce orders* card, click *Add data*.
++
+[role="screenshot"]
+image::getting-started/images/add-sample-data.png[]
+
+[float]
+[[explore-the-data]]
+== Explore the data
+
+*Discover* displays an interactive histogram that shows the distribution of of data, or documents, over time, and a table that lists the fields for each document that matches the index. By default, all fields are shown for each matching document.
+
+. Open the menu, then click *Discover*.
+
+. Change the <<set-time-filter, time filter>> to *Last 7 days*.
++
+[role="screenshot"]
+image::images/tutorial-discover-2.png[]
+
+. To focus in on the documents you want to view, use the <<kuery-query,{kib} Query Language>>. In the *KQL* search field, enter:
++
+[source,text]
+products.taxless_price >= 60 AND category : Women's Clothing
++
+The query returns the women's clothing orders for $60 and more.
++
+[role="screenshot"]
+image::images/tutorial-discover-4.png[]
+
+. Hover over the list of *Available fields*, then click *+* next to the fields you want to view in the table.
++
+For example, when you add the *category* field, the table displays the product categories for the orders.
++
+[role="screenshot"]
+image::images/tutorial-discover-3.png[]
++
+For more information, refer to <<discover, *Discover*>>.
+
+[float]
+[[view-and-analyze-the-data]]
+== View and analyze the data
+
+A dashboard is a collection of panels that you can use to view and analyze the data. Panels contain visualizations, interactive controls, Markdown, and more.
+
+. Open the menu, then click *Dashboard*. 
+
+. Click *[eCommerce] Revenue Dashboard*.
++
+[role="screenshot"]
+image::getting-started/images/tutorial-sample-dashboard.png[]
+
+[float]
+[[filter-and-query-the-data]]
+=== Filter the data
+
+To focus in on the data you want to view on the dashboard, use filters. 
+
+. From the *Controls* visualization, make a selection from the *Manufacturer* and *Category* dropdowns, then click *Apply changes*.
++
+For example, the following dashboard shows the data for women's clothing from Gnomehouse. 
++
+[role="screenshot"]
+image::getting-started/images/tutorial-sample-filter.png[]
+
+. To manually add a filter, click *Add filter*, then specify the options.
++
+For example, to view the orders for Wednesday, select *day_of_week* from the *Field* dropdown, select *is* from the *Operator* dropdown, then select *Wednesday* from the *Value* dropdown.
++
+[role="screenshot"]
+image::getting-started/images/tutorial-sample-filter2.png[]
+
+. When you are done, remove the filters.
++
+For more information, refer to <<dashboard,*Dashboard*>>.
+
+[float]
+[[create-a-visualization]]
+=== Create a visualization
+
+To create a treemap that shows the top regions and manufacturers, use *Lens*, then add the treemap to the dashboard.
+
+. From the {kib} toolbar, click *Edit*, then click *Create new*.
+
+. On the *New Visualization* window, click *Lens*.
+
+. From the *Available fields* list, drag and drop the following fields to the visualization builder:
+
+* *geoip.city_name*
+
+* *manufacturer.keyword*
++
+. From the visualization dropdown, select *Treemap*.
++
+[role="screenshot"]
+image::getting-started/images/tutorial-visualization-dropdown.png[Visualization dropdown with Treemap selected]
+
+. Click *Save*.
+
+. On the *Save Lens visualization*, enter a title and make sure *Add to Dashboard after saving* is selected, then click *Save and return*.
++
+The treemap appears as the last visualization on the dashboard.
++
+[role="screenshot"]
+image::getting-started/images/tutorial-final-dashboard.gif[Final dashboard with new treemap visualization]
++
+For more information, refer to <<lens, *Lens*>>.
+
+[float]
+[[quick-start-whats-next]]
+== What's next?
+
+If you are you ready to add your own data, refer to <<connect-to-elasticsearch,Add data to {kib}>>.
+
+If you want to ingest your data, refer to {ingest-guide}/ingest-management-getting-started.html[Quick start: Get logs and metrics into the Elastic Stack].