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articles/synapse-analytics/sql-analytics/resource-consumption-models.md

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### What are Data Warehouse Units
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A [Synapse SQL pool](sql-data-warehouse-overview-what-is.md#synapse-sql-pool-in-azure-synapse) represents a collection of analytic resources that are being provisioned. Analytic resources are defined as a combination of CPU, memory and IO. These three resources are bundled into units of compute scale called Data Warehouse Units (DWUs). A DWU represents an abstract, normalized measure of compute resources and performance. A change to your service level alters the number of DWUs that are available to the system, which in turn adjusts the performance, and the cost, of your system.
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A Synapse SQL pool represents a collection of analytic resources that are being provisioned. Analytic resources are defined as a combination of CPU, memory and IO. These three resources are bundled into units of compute scale called Data Warehouse Units (DWUs). A DWU represents an abstract, normalized measure of compute resources and performance. A change to your service level alters the number of DWUs that are available to the system, which in turn adjusts the performance, and the cost, of your system.
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For higher performance, you can increase the number of data warehouse units. For less performance, reduce data warehouse units. Storage and compute costs are billed separately, so changing data warehouse units does not affect storage costs.
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articles/synapse-analytics/sql-data-warehouse/cheat-sheet.md

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If you notice that queries take too long, check that your users do not run in large resource classes. Large resource classes consume many concurrency slots. They can cause other queries to queue up.
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Finally, by using Gen2 of [SQL pool](sql-data-warehouse-overview-what-is.md#synapse_sql-pool-in-azure-synapse), each resource class gets 2.5 times more memory than Gen1.
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Finally, by using Gen2 of [SQL pool](sql-data-warehouse-overview-what-is.md#synapse-sql-pool-in-azure-synapse), each resource class gets 2.5 times more memory than Gen1.
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Learn more how to work with [resource classes and concurrency](resource-classes-for-workload-management.md).
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articles/synapse-analytics/sql-data-warehouse/sql-data-warehouse-best-practices.md

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# Best practices for SQL Analytics in Azure Synapse Analytics (formerly SQL DW)
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This article is a collection of best practices to help you to achieve optimal performance from your [SQL Analytics](sql-data-warehouse-overview-what-is.md#synapse_sql-pool-in-azure-synapse) deployment. The purpose of this article is to give you some basic guidance and highlight important areas of focus. Each section introduces you to a concept and then points you to more detailed articles that cover the concept in more depth. The sequence of topics is in the order of importance.
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This article is a collection of best practices to help you to achieve optimal performance from your [SQL Analytics](sql-data-warehouse-overview-what-is.md#synapse-sql-pool-in-azure-synapse) deployment. The purpose of this article is to give you some basic guidance and highlight important areas of focus. Each section introduces you to a concept and then points you to more detailed articles that cover the concept in more depth. The sequence of topics is in the order of importance.
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## Reduce cost with pause and scale
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articles/synapse-analytics/sql-data-warehouse/sql-data-warehouse-concept-resource-utilization-query-activity.md

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For a programmatic experience when monitoring Synapse SQL via T-SQL, the service provides a set of Dynamic Management Views (DMVs). These views are useful when actively troubleshooting and identifying performance bottlenecks with your workload.
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To view the list of DMVs that apply to Synapse SQL, refer to this [documentation](sql-data-warehouse-reference-tsql-system-views.md#sql-data-warehouse-dynamic-management-views-dmvs).
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To view the list of DMVs that apply to Synapse SQL, refer to this [documentation](sql-data-warehouse-reference-tsql-system-views.md#sql-pool-dynamic-management-views-dmvs).
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## Metrics and diagnostics logging
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