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articles/synapse-analytics/metadata/database.md

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A database created with a Spark job will become visible with that same name to all current and future Spark pools (preview) in the workspace as well as the SQL on-demand engine.
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If there are SQL pools in the workspace that have metadata synchronization enabled or if a new SQL pool is created with the metadata synchronization enabled, these Spark created databases are automatically mapped into special schemas in the SQL pool database.
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If there are SQL pools in the workspace that have metadata synchronization enabled, or if you create a new SQL pool with the metadata synchronization enabled, these Spark created databases are automatically mapped into special schemas in the SQL pool database.
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Each schema is named after the Spark database name with an additional `$` prefix. Both the external and managed tables in the Spark-generated database are exposed as external tables in the corresponding special schema.
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articles/synapse-analytics/metadata/overview.md

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title: Azure Synapse Analytics shared metadata model
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description: Azure Synapse Analytics provides a shared metadata model where creating a database or table in Apache Spark will make it accessible from its SQL on-demand (preview) and SQL pool engines without duplicating the data or requiring user action.
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description: Azure Synapse Analytics allows the different workspace computational engines to share databases and tables between its Spark pools (preview), SQL on-demand engine (preview), and SQL pools.
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services: synapse-analytics
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author: MikeRys
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ms.service: synapse-analytics
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# Azure Synapse Analytics shared metadata
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Azure Synapse Analytics allows the different computational engines of a workspace to share databases and tables between its Spark pools (preview), SQL on-demand engine (preview), and SQL pools.
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Azure Synapse Analytics allows the different workspace computational engines to share databases and tables between its Spark pools (preview), SQL on-demand engine (preview), and SQL pools.
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[!INCLUDE [synapse-analytics-preview-terms](../../../includes/synapse-analytics-preview-terms.md)]
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The sharing supports the so-called modern data warehouse pattern and gives the workspace SQL engines access to databases and tables created with Spark. It also allows the SQL engines to create their own objects that are not being shared with the other engines.
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The sharing supports the so-called modern data warehouse pattern and gives the workspace SQL engines access to databases and tables created with Spark. It also allows the SQL engines to create their own objects that aren't being shared with the other engines.
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## Support the modern data warehouse
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