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Adding Streams information into the Manage data section
Refers to [#274](elastic/docs-content-internal#274)
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manage-data/data-store/data-streams.md

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@@ -17,6 +17,24 @@ A data stream acts as a layer of abstraction over a set of indices that are opti
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You can submit indexing and search requests directly to a data stream. The stream automatically routes the request to backing indices that store the stream’s data. You can use [{{ilm}} ({{ilm-init}})](../lifecycle/index-lifecycle-management.md) to automate the management of these backing indices. For example, you can use {{ilm-init}} to automatically move older backing indices to less expensive hardware and delete unneeded indices. {{ilm-init}} can help you reduce costs and overhead as your data grows.
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You can also use a [data stream lifecycle](../lifecycle/data-stream.md) to automate lifecycle management according to your retention requirements.
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## Streams
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```{applies_to}
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serverless: ga
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stack: preview 9.1, ga 9.2
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```
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Starting with {{stack}} version 9.2, **Streams** provides a centralized interface for managing your data in {{kib}}. It consolidates common data management tasks and eliminates the need for manual configuration of multiple applications and components. A stream directly corresponds to an {{es}} data stream, for example `logs-myapp-default`. Any changes to you make in Streams are automatically propagated to the associated data stream.
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You can use Streams to perform the following data management tasks:
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* defining parsing and field extraction logic to structure incoming data
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* managing and updating field mappings
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* configuring data retention policies
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* identifying failed and degraded documents
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* manually adjusting underlying {{es}} components of your streams
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For more information, refer to [Streams](/solutions/observability/streams/streams.md).
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## Should you use a data stream? [should-you-use-a-data-stream]
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