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Developer guide - index patterns key concepts (#96017)
* add index patterns key concepts
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dev_docs/key_concepts/data_views.mdx
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---
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id: kibDataViewsKeyConcepts
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slug: /kibana-dev-docs/data-view-intro
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title: Data Views
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summary: Data views are the central method of defining queryable data sets in Kibana
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date: 2021-08-11
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tags: ['kibana','dev', 'contributor', 'api docs']
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---
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*Note: Kibana index patterns are currently being renamed to data views. There will be some naming inconsistencies until the transition is complete.*
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Data views (formerly Kibana index patterns or KIPs) are the central method of describing sets of indices for queries. Usage is strongly recommended
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as a number of high level <DocLink id="kibBuildingBlocks" text="building blocks"/> rely on them. Further, they provide a consistent view of data across
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a variety Kibana apps.
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Data views are defined by a wildcard string (an index pattern) which matches indices, data streams, and index aliases, optionally specify a
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timestamp field for time series data, and are stored as a <DocLink id="kibDevDocsSavedObjectsIntro"
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text="saved object"/>. They have a field list which comprises all the fields in matching indices plus fields defined specifically
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on the data view via runtime fields. Schema-on-read functionality is provided by data view defined runtime fields.
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The data view API is made available via the data plugin (`data.indexPatterns`, soon to be renamed) and most commonly used with <DocLink id="kibDevTutorialDataSearchAndSessions" section="high-level-search" text="SearchSource" />
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(`data.search.search.SearchSource`) to perform queries. SearchSource will apply existing filters and queries from the search bar UI.
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Users can create data views via [Data view management](https://www.elastic.co/guide/en/kibana/current/index-patterns.html).
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Additionally, they can be created through the data view API.
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Data views also allow formatters and custom labels to be defined for fields.
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