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manage-data/ingest/transform-enrich.md

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@@ -36,7 +36,7 @@ Finally, to help ensure optimal query results, you may want to customize how tex
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{{ls}} and the {{ls}} `elastic_integration filter`
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: If you're using {{ls}} as your primary ingest tool, you can take advantage of its built-in pipeline capabilities to transform your data. You configure a pipeline by stringing together a series of input, output, filtering, and optional codec plugins to manipulate all incoming data.
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: If you're ingesting using {{agent}} with Elastic {{integrations}}, you can use the {{ls}} [`elastic_integration filter`](https://www.elastic.co/guide/en/logstash/current/) and other [{{ls}} filters](logstash-docs-md://lsr/filter-plugins.md) to [extend Elastic integrations](logstash://reference/using-logstash-with-elastic-integrations.md) by transforming data before it goes to {{es}}.
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: If you're ingesting using {{agent}} with Elastic {{integrations}}, you can use the {{ls}} [`elastic_integration filter`](logstash-docs-md://lsr/plugins-filters-elastic_integration.md) and other [{{ls}} filters](logstash-docs-md://lsr/filter-plugins.md) to [extend Elastic integrations](logstash://reference/using-logstash-with-elastic-integrations.md) by transforming data before it goes to {{es}}.
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Index mapping
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: Index mapping lets you control the structure that incoming data has within an {{es}} index. You can define all of the fields that are included in the index and their respective data types. For example, you can set fields for dates, numbers, or geolocations, and define the fields to have specific formats.

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