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GitBook: [#240] Organize layout of feature overview into feature categories as agreed with Harsha.
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@ -4,60 +4,62 @@ description: In this section, we present an overview of OpenMetadata features.
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# Features
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### Search across all assets
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### Discover Your Data
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#### Find assets based on name, description, and component metadata (e.g., column name, description) and containing service
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#### Keyword Search
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Find assets based on name, description, and component metadata (e.g., column name, description) and containing service
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For more details see the [Asset Discovery](asset-discovery.md) documentation.
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#### Complex Queries
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### Filter data assets based on importance; identify owners
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#### User Tier tags and usage data to identify the relative importance of assets. Identify owners to locate key contacts for follow up questions.
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### Use complex queries to pinpoint assets
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#### Find assets matching strict criteria on metadata properties and Boolean operators.
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Find assets matching strict criteria on metadata properties and Boolean operators.
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For more details on asset metadata properties, please see the [Asset Discovery](asset-discovery.md) documentation.
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#### Support for Complex Data Types
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### Search nested fields in complex data types
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#### Add description and tags to nested fields in complex data types like structs and arrays. Locate these assets using keyword search or complex queries.
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Add descriptions and tags to nested fields in complex data types like arrays and structs. Locate these assets using keyword search or complex queries.
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### Importance and Owners
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#### Filter Assets by Importance
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### Trace data lineage across assets
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User Tier tags and usage data to identify the relative importance of data assets. 
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#### Trace the path of data across tables, pipelines, and dashboards.
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#### Identify Asset Owners
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Identify owners who can help with questions about an asset.
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### Data Lineage
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Trace the path of data across tables, pipelines, and dashboards.
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### Data Reliability
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Build trust in your data by creating tests to monitor that the data is complete, fresh, and accurate.
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### Assess data reliability based on profile metadata
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#### Data Profiler
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#### Understand how many rows are being added to a table daily, unique count ratio, null count ratio, etc.
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Enable the data profiler through metadata ingestion to capture the profile of tables over a period of time. This will help your users check for null values in non-null columns, for duplicates in a unique column, etc. Understand column data distributions through min, max, mean.
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### Service Connectors
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### Connectors for many popular services
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#### Integrate your database, dashboard, messaging, and pipeline services with OpenMetadata.
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Integrate your database, dashboard, messaging, and pipeline services with OpenMetadata.
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