fixing broken links

Author: MashaMSFT

articles/azure-sql/database/automatic-tuning-enable.md

@@ -124,4 +124,4 @@ See [automatic tuning e-mail notifications](automatic-tuning-email-notifications
 
 - Read the [Automatic tuning article](automatic-tuning-overview.md) to learn more about automatic tuning and how it can help you improve your performance.
 - See [Performance recommendations](database-advisor-implement-performance-recommendations.md) for an overview of Azure SQL Database performance recommendations.
-- See [Query Performance Insights](query-performance-use.md) to learn about viewing the performance impact of your top queries.
+- See [Query Performance Insights](query-performance-insight-use.md) to learn about viewing the performance impact of your top queries.

articles/azure-sql/database/database-advisor-find-recommendations-portal.md

@@ -146,7 +146,7 @@ If you used the performance recommendations to apply the recommendation (meaning
 
 ## Monitoring performance impact of index recommendations
 
-After recommendations are successfully implemented (currently, index operations and parameterize queries recommendations only), you can click **Query Insights** on the recommendation details page to open [Query Performance Insights](query-performance-use.md) and see the performance impact of your top queries.
+After recommendations are successfully implemented (currently, index operations and parameterize queries recommendations only), you can click **Query Insights** on the recommendation details page to open [Query Performance Insights](query-performance-insight-use.md) and see the performance impact of your top queries.
 
 ![Monitor performance impact](./media/database-advisor-find-recommendations-portal/query-insights.png)
 
@@ -160,7 +160,7 @@ Monitor your recommendations and continue to apply them to refine performance. D
 
 * See [Automatic tuning](automatic-tuning-overview.md) to learn more about the automatic tuning in Azure SQL Database.
 * See [Performance recommendations](database-advisor-implement-performance-recommendations.md) for an overview of Azure SQL Database performance recommendations.
-* See [Query Performance Insights](query-performance-use.md) to learn about viewing the performance impact of your top queries.
+* See [Query Performance Insights](query-performance-insight-use.md) to learn about viewing the performance impact of your top queries.
 
 ## Additional resources
 

articles/azure-sql/database/database-advisor-implement-performance-recommendations.md

@@ -26,7 +26,7 @@ Performance overview provides a summary of your database performance, and helps
 - The **Recommendations** tile provides a breakdown of tuning recommendations for your database (top three recommendations are shown if there are more). Clicking this tile takes you to **[Performance recommendation options](database-advisor-find-recommendations-portal.md#viewing-recommendations)**.
 - The **Tuning activity** tile provides a summary of the ongoing and completed tuning actions for your database, giving you a quick view into the history of tuning activity. Clicking this tile takes you to the full tuning history view for your database.
 - The **Auto-tuning** tile shows the **[auto-tuning configuration](automatic-tuning-enable.md)** for your database (tuning options that are automatically applied to your database). Clicking this tile opens the automation configuration dialog.
-- The **Database queries** tile shows the summary of the query performance for your database (overall DTU usage and top resource consuming queries). Clicking this tile takes you to **[Query Performance Insight](query-performance-use.md)**.
+- The **Database queries** tile shows the summary of the query performance for your database (overall DTU usage and top resource consuming queries). Clicking this tile takes you to **[Query Performance Insight](query-performance-insight-use.md)**.
 
 ## Performance recommendation options
 
@@ -114,4 +114,4 @@ Developers might consider developing custom applications using performance recom
 
 - For more information about automatic tuning of database indexes and query execution plans, see [Azure SQL Database automatic tuning](automatic-tuning-overview.md).
 - For more information about automatically monitoring database performance with automated diagnostics and root cause analysis of performance issues, see [Azure SQL Intelligent Insights](../intelligent-insights.md).
-- See [Query Performance Insights](query-performance-use.md) to learn about and view the performance impact of your top queries.
+- See [Query Performance Insights](query-performance-insight-use.md) to learn about and view the performance impact of your top queries.

articles/azure-sql/database/features-comparison.md

@@ -137,7 +137,7 @@ The Azure platform provides a number of PaaS capabilities that are added as an a
 | [SQL Server Analysis Services (SSAS)](https://docs.microsoft.com/sql/analysis-services/analysis-services) | No, [Azure Analysis Services](https://azure.microsoft.com/services/analysis-services/) is a separate Azure cloud service. | No, [Azure Analysis Services](https://azure.microsoft.com/services/analysis-services/) is a separate Azure cloud service. |
 | [SQL Server Integration Services (SSIS)](https://docs.microsoft.com/sql/integration-services/sql-server-integration-services) | Yes, with a managed SSIS in Azure Data Factory (ADF) environment, where packages are stored in SSISDB hosted by Azure SQL Database and executed on Azure SSIS Integration Runtime (IR), see [Create Azure-SSIS IR in ADF](https://docs.microsoft.com/azure/data-factory/create-azure-ssis-integration-runtime). <br/><br/>To compare the SSIS features in SQL Database and SQL Managed Instance, see [Compare SQL Database to SQL Managed Instance](../../data-factory/create-azure-ssis-integration-runtime.md#comparison-of-a-azure-sql-database-elastic-pool-and-sql-managed-instance). | Yes, with a managed SSIS in Azure Data Factory (ADF) environment, where packages are stored in SSISDB hosted by SQL Managed Instance and executed on Azure SSIS Integration Runtime (IR), see [Create Azure-SSIS IR in ADF](https://docs.microsoft.com/azure/data-factory/create-azure-ssis-integration-runtime). <br/><br/>To compare the SSIS features in SQL Database and SQL Managed Instance, see [Compare SQL Database to SQL Managed Instance](../../data-factory/create-azure-ssis-integration-runtime.md#comparison-of-a-azure-sql-database-elastic-pool-and-sql-managed-instance). |
 | [SQL Server Reporting Services (SSRS)](https://docs.microsoft.com/sql/reporting-services/create-deploy-and-manage-mobile-and-paginated-reports) | No - [see Power BI](https://docs.microsoft.com/power-bi/) | No - [see Power BI](https://docs.microsoft.com/power-bi/) |
-| [Query Performance Insights (QPI)](query-performance-use.md) | Yes | No. Use built-in reports in SQL Server Management Studio and Azure Data Studio. |
+| [Query Performance Insights (QPI)](query-performance-insight-use.md) | Yes | No. Use built-in reports in SQL Server Management Studio and Azure Data Studio. |
 | [VNet](../../virtual-network/virtual-networks-overview.md) | Partial, it enables restricted access using [VNet Endpoints](vnet-service-endpoint-rule-overview.md) | Yes, SQL Managed Instance is injected in customer's VNet. See [subnet](../managed-instance/transact-sql-tsql-differences-sql-server.md#subnet) and [VNet](../managed-instance/transact-sql-tsql-differences-sql-server.md#vnet) |
 | VNet Service endpoint | [Yes](vnet-service-endpoint-rule-overview.md) | No |
 | VNet Global peering | Yes, using [Private IP and service endpoints](vnet-service-endpoint-rule-overview.md) | No, [SQL Managed Instance is not supported](../../virtual-network/virtual-networks-faq.md#what-are-the-constraints-related-to-global-vnet-peering-and-load-balancers) due to [Load balancer constraint in VNet global peering](../../virtual-network/virtual-network-manage-peering.md#requirements-and-constraints).

articles/azure-sql/database/manage-data-after-migrating-to-database.md

@@ -268,7 +268,7 @@ You can query the [sys.dm_db_resource_stats](/sql/relational-databases/system-dy
 
 #### Query Performance Insight
 
-[Query Performance Insight](query-performance-use.md) allows you to see a history of the top resource-consuming queries and long-running queries for a specific database. You can quickly identify TOP queries by resource utilization, duration, and frequency of execution. You can track queries and detect regression. This feature requires [Query Store](/sql/relational-databases/performance/monitoring-performance-by-using-the-query-store) to be enabled and active for the database.
+[Query Performance Insight](query-performance-insight-use.md) allows you to see a history of the top resource-consuming queries and long-running queries for a specific database. You can quickly identify TOP queries by resource utilization, duration, and frequency of execution. You can track queries and detect regression. This feature requires [Query Store](/sql/relational-databases/performance/monitoring-performance-by-using-the-query-store) to be enabled and active for the database.
 
 ![Query Performance Insight](./media/manage-data-after-migrating-to-database/query-performance-insight.png)
 
@@ -280,7 +280,7 @@ You can query the [sys.dm_db_resource_stats](/sql/relational-databases/system-dy
 
 A major portion of the troubleshooting techniques you would use for diagnosing query and database performance issues remain the same. After all the same SQL database engine powers the cloud. However, the platform - Azure SQL Database has built in ‘intelligence’. It can help you troubleshoot and diagnose performance issues even more easily. It can also perform some of these corrective actions on your behalf and in some cases, proactively fix them - automatically.
 
-Your approach towards troubleshooting performance issues can significantly benefit by using intelligent features such as [Query Performance Insight(QPI)](query-performance-use.md) and [Database Advisor](database-advisor-implement-performance-recommendations.md) in conjunction and so the difference in methodology differs in that respect – you no longer need to do the manual work of grinding out the essential details that might help you troubleshoot the issue at hand. The platform does the hard work for you. One example of that is QPI. With QPI, you can drill all the way down to the query level and look at the historical trends and figure out when exactly the query regressed. The Database Advisor gives you recommendations on things that might help you improve your overall performance in general like - missing indexes, dropping indexes, parameterizing your queries etc.
+Your approach towards troubleshooting performance issues can significantly benefit by using intelligent features such as [Query Performance Insight(QPI)](query-performance-insight-use.md) and [Database Advisor](database-advisor-implement-performance-recommendations.md) in conjunction and so the difference in methodology differs in that respect – you no longer need to do the manual work of grinding out the essential details that might help you troubleshoot the issue at hand. The platform does the hard work for you. One example of that is QPI. With QPI, you can drill all the way down to the query level and look at the historical trends and figure out when exactly the query regressed. The Database Advisor gives you recommendations on things that might help you improve your overall performance in general like - missing indexes, dropping indexes, parameterizing your queries etc.
 
 With performance troubleshooting, it is important to identify whether it is just the application or the database backing it, that’s impacting your application performance. Often the performance problem lies in the application layer. It could be the architecture or the data access pattern. For example, consider you have a chatty application that is sensitive to network latency. In this case, your application suffers because there would be many short requests going back and forth ("chatty") between the application and the server and on a congested network, these roundtrips add up fast. To improve the performance in this case, you can use [Batch Queries](performance-guidance.md#batch-queries). Using batches helps you tremendously because now your requests get processed in a batch; thus, helping you cut down on the roundtrip latency and improve your application performance.
 

articles/azure-sql/database/monitor-tune-overview.md

@@ -39,7 +39,7 @@ Azure SQL Database includes [database advisors](database-advisor-implement-perfo
 
 ### Query Performance Insight in Azure SQL Database
 
-[Query Performance Insight](query-performance-use.md) shows the performance in the Azure portal of top consuming and longest running queries for single and pooled databases.
+[Query Performance Insight](query-performance-insight-use.md) shows the performance in the Azure portal of top consuming and longest running queries for single and pooled databases.
 
 ## Generate intelligent assessments of performance issues
 

articles/azure-sql/database/monitoring-with-dmvs.md

@@ -515,7 +515,7 @@ WHERE c.session_id = @@SPID;
 
 ## Monitor resource use
 
-You can monitor Azure SQL Database resource usage using [SQL Database Query Performance Insight](query-performance-use.md). For Azure SQL Database and Azure SQL Managed Instance, you can monitor using [Query Store](https://msdn.microsoft.com/library/dn817826.aspx).
+You can monitor Azure SQL Database resource usage using [SQL Database Query Performance Insight](query-performance-insight-use.md). For Azure SQL Database and Azure SQL Managed Instance, you can monitor using [Query Store](https://msdn.microsoft.com/library/dn817826.aspx).
 
 You can also monitor usage using these views:
 

articles/azure-sql/database/purchasing-models.md

@@ -107,7 +107,7 @@ DTUs are most useful for understanding the relative resources that are allocated
 - Doubling the DTUs by increasing the compute size of a database equates to doubling the set of resources available to that database.
 - A premium service tier P11 database with 1750 DTUs provides 350x more DTU compute power than a basic service tier database with 5 DTUs.  
 
-To gain deeper insight into the resource (DTU) consumption of your workload, use [query-performance insights](query-performance-use.md) to:
+To gain deeper insight into the resource (DTU) consumption of your workload, use [query-performance insights](query-performance-insight-use.md) to:
 
 - Identify the top queries by CPU/duration/execution count that can potentially be tuned for improved performance. For example, an I/O-intensive query might benefit from [in-memory optimization techniques](../in-memory-oltp-overview.md) to make better use of the available memory at a certain service tier and compute size.
 - Drill down into the details of a query to view its text and its history of resource usage.
@@ -125,7 +125,7 @@ You can add additional eDTUs to an existing pool with no database downtime and w
 
 ### Determine the number of DTUs needed by a workload
 
-If you want to migrate an existing on-premises or SQL Server virtual machine workload to SQL Database, use the [DTU calculator](https://dtucalculator.azurewebsites.net/) to approximate the number of DTUs needed. For an existing SQL Database workload, use [query-performance insights](query-performance-use.md) to understand your database-resource consumption (DTUs) and gain deeper insights for optimizing your workload. The [sys.dm_db_resource_stats](https://docs.microsoft.com/sql/relational-databases/system-dynamic-management-views/sys-dm-db-resource-stats-azure-sql-database) dynamic management view (DMV) lets you view resource consumption for the last hour. The [sys.resource_stats](https://docs.microsoft.com/sql/relational-databases/system-catalog-views/sys-resource-stats-azure-sql-database) catalog view displays resource consumption for the last 14 days, but at a lower fidelity of five-minute averages.
+If you want to migrate an existing on-premises or SQL Server virtual machine workload to SQL Database, use the [DTU calculator](https://dtucalculator.azurewebsites.net/) to approximate the number of DTUs needed. For an existing SQL Database workload, use [query-performance insights](query-performance-insight-use.md) to understand your database-resource consumption (DTUs) and gain deeper insights for optimizing your workload. The [sys.dm_db_resource_stats](https://docs.microsoft.com/sql/relational-databases/system-dynamic-management-views/sys-dm-db-resource-stats-azure-sql-database) dynamic management view (DMV) lets you view resource consumption for the last hour. The [sys.resource_stats](https://docs.microsoft.com/sql/relational-databases/system-catalog-views/sys-resource-stats-azure-sql-database) catalog view displays resource consumption for the last 14 days, but at a lower fidelity of five-minute averages.
 
 ### Determine DTU utilization