[DOCS] Changes index pattern to data views in intro docs (#119403) (#…

…119894)

* [DOCS] Changes index pattern to data views in intro docs

* [DOCS] Updates image of data views UI

* [DOCS] Removes faulty sentence

* [DOCS] removes sentence about index patterns

Co-authored-by: Kibana Machine <[email protected]>

Co-authored-by: Kibana Machine <[email protected]>

docs/concepts/data-views.asciidoc

@@ -1,7 +1,7 @@
 [[data-views]]
 === Create a data view
 
-{kib} requires a data view to access the {es} data that you want to explore. 
+{kib} requires a data view to access the {es} data that you want to explore.
 A data view selects the data to use and allows you to define properties of the fields.
 
 A data view can point to one or more indices, {ref}/data-streams.html[data stream], or {ref}/alias.html[index aliases].
@@ -37,7 +37,7 @@ If you loaded your own data, follow these steps to create a data view.
 . Click *Create data view*.
 
 [role="screenshot"]
-image:management/index-patterns/images/create-index-pattern.png["Create data view"]
+image:management/index-patterns/images/create-data-view.png["Create data view"]
 
 . Start typing in the *name* field, and {kib} looks for the names of
 indices, data streams, and aliases that match your input.
@@ -87,11 +87,11 @@ For an example, refer to <<rollup-data-tutorial,Create and visualize rolled up d
 ==== Create a data view that searches across clusters
 
 If your {es} clusters are configured for {ref}/modules-cross-cluster-search.html[{ccs}],
-you can create an index pattern to search across the clusters of your choosing. Use the
+you can create a {data-source} to search across the clusters of your choosing. Use the
 same syntax that you use in a raw {ccs} request in {es}:
 
 ```ts
-<cluster-names>:<pattern>
+<cluster-names>:<data-view>
 ```
 
 To query {ls} indices across two {es} clusters

docs/concepts/index.asciidoc

@@ -40,8 +40,6 @@ image:concepts/images/global-search.png["Global search showing matches to apps a
 {kib} requires a data view to tell it which {es} data you want to access,
 and whether the data is time-based. A data view can point to one or more {es}
 data streams, indices, or index aliases by name.
-For example, `logs-elasticsearch-prod-*` is an index pattern,
-and it is time-based with a time field of `@timestamp`. The time field is not editable.
 
 Data views are typically created by an administrator when sending data to {es}.
 You can <<data-views,create or update data views>> in *Stack Management*, or by using a script
@@ -129,8 +127,7 @@ Previously, {kib} used the {ref}/search-aggregations-bucket-terms-aggregation.ht
 Structured filters are a more interactive way to create {es} queries,
 and are commonly used when building dashboards that are shared by multiple analysts.
 Each filter can be disabled, inverted, or pinned across all apps.
-The structured filters are the only way to use the {es} Query DSL in JSON form,
-or to target a specific index pattern for filtering. Each of the structured
+Each of the structured
 filters is combined with AND logic on the rest of the query.
 
 [role="screenshot"]

docs/concepts/save-query.asciidoc

@@ -17,7 +17,7 @@ image:concepts/images/saved-query.png["Example of the saved query management pop
 
 Saved queries are different than <<save-open-search,saved searches>>,
 which include the *Discover* configuration&mdash;selected columns in the document table, sort order, and
-index pattern&mdash;in addition to the query.
+{data-source}&mdash;in addition to the query.
 Saved searches are primarily used for adding search results to a dashboard.
 
 [role="xpack"]

docs/concepts/set-time-filter.asciidoc

@@ -2,7 +2,7 @@
 === Set the time range
 Display data within a
 specified time range when your index contains time-based events, and a time-field is configured for the
-selected <<data-views, data view>>.
+selected <<data-views, {data-source}>>.
 The default time range is 15 minutes, but you can customize
 it in <<advanced-options,Advanced Settings>>.
 

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

@@ -11,7 +11,7 @@ When you've finished, you'll know how to:
 
 [float]
 === Required privileges
-You must have `read`, `write`, and `manage` privileges on the `kibana_sample_data_*` indices. 
+You must have `read`, `write`, and `manage` privileges on the `kibana_sample_data_*` indices.
 Learn how to <<tutorial-secure-access-to-kibana, secure access to {kib}>>, or refer to {ref}/security-privileges.html[Security privileges] for more information.
 
 [float]
@@ -37,7 +37,7 @@ image::images/addData_sampleDataCards_7.15.0.png[Add data UI for the sample data
 [[explore-the-data]]
 == Explore the data
 
-*Discover* displays the data in an interactive histogram that shows the distribution of data, or documents, over time, and a table that lists the fields for each document that matches the index pattern. To view a subset of the documents, you can apply filters to the data, and customize the table to display only the fields you want to explore.
+*Discover* displays the data in an interactive histogram that shows the distribution of data, or documents, over time, and a table that lists the fields for each document that matches the {data-source}. To view a subset of the documents, you can apply filters to the data, and customize the table to display only the fields you want to explore.
 
 . Open the main menu, then click *Discover*.
 
@@ -65,7 +65,7 @@ image::images/tutorial-discover-3.png[Discover table that displays only the prod
 
 A dashboard is a collection of panels that you can use to view and analyze the data. Panels contain visualizations, interactive controls, text, and more.
 
-. Open the main menu, then click *Dashboard*. 
+. Open the main menu, then click *Dashboard*.
 
 . Click *[eCommerce] Revenue Dashboard*.
 +
@@ -104,7 +104,7 @@ The treemap appears as the last visualization panel on the dashboard.
 [[interact-with-the-data]]
 === Interact with the data
 
-You can interact with the dashboard data using controls that allow you to apply dashboard-level filters. Interact with the *[eCommerce] Controls* panel to view the women's clothing data from the Gnomehouse manufacturer. 
+You can interact with the dashboard data using controls that allow you to apply dashboard-level filters. Interact with the *[eCommerce] Controls* panel to view the women's clothing data from the Gnomehouse manufacturer.
 
 . From the *Manufacturer* dropdown, select *Gnomehouse*.