Merge pull request #47736 from kevinvngo/patch-36

Recommendations Article for SQL DW

Author: itechedit

articles/sql-data-warehouse/TOC.yml

@@ -111,8 +111,12 @@
       href: memory-and-concurrency-limits.md
     - name: Columnstore compression
       href: sql-data-warehouse-memory-optimizations-for-columnstore-compression.md
-  - name: Monitor
-    href: sql-data-warehouse-manage-monitor.md
+  - name: Manageability & Monitoring
+    items:
+    - name: Monitor 
+      href: sql-data-warehouse-manage-monitor.md
+    - name: Recommendations 
+      href: sql-data-warehouse-concept-recommendations.md
   - name: Develop data warehouses
     items:
     - name: Overview

articles/sql-data-warehouse/sql-data-warehouse-concept-recommendations.md

@@ -0,0 +1,37 @@
+---
+title: SQL Data Warehouse Recommendations - Concepts | Microsoft Docs
+description: Learn about SQL Data Warehouse recommendations and how they are generated
+services: sql-data-warehouse
+author: kevinvngo
+manager: craigg-msft
+ms.service: sql-data-warehouse
+ms.topic: conceptual
+ms.component: manage
+ms.date: 07/27/2018
+ms.author: kevin
+ms.reviewer: igorstan
+---
+
+# SQL Data Warehouse Recommendations
+
+This article describes the recommendations served by SQL Data Warehouse through Azure Advisor.  
+
+SQL Data Warehouse provides recommendations to ensure your data warehouse is consistently optimized for performance. Data warehouse recommendations is tightly integrated with [Azure Advisor](https://docs.microsoft.com/azure/advisor/advisor-performance-recommendations) to provide you with best practices directly within the [Azure portal](https://aka.ms/Azureadvisor). SQL Data Warehouse analyzes the current state of your data warehouse, collects telemetry, and surfaces recommendations for your active workload on a daily cadence. The supported data warehouse recommendation scenarios are outlined below along with how to apply recommended actions.
+
+If you have any feedback on the SQL Data Warehouse Advisor or run into any issues, please reach out to [[email protected]](mailto:[email protected]).   
+
+Click [here](https://aka.ms/Azureadvisor) to check your recommendations today! Currently this feature is applicable to Gen2 data warehouses only. 
+
+## Data Skew
+
+Data skew can cause additional data movement or resource bottlenecks when running your workload. The following documentation describes show to identify data skew and prevent it from happening by selecting an optimal distribution key.
+
+- [Identify and remove skew](https://docs.microsoft.com/azure/sql-data-warehouse/sql-data-warehouse-tables-distribute#how-to-tell-if-your-distribution-column-is-a-good-choice) 
+
+## No or Outdated Statistics
+
+Having suboptimal statistics can severely impact query performance as it can cause the SQL Data Warehouse query optimizer to generate suboptimal query plans. The following documentation describes the best practices around creating and updating statistics:
+
+- [Creating and updating table statistics](https://docs.microsoft.com/azure/sql-data-warehouse/sql-data-warehouse-tables-statistic)
+
+For these two recommendations, the advisor is continuously running the following [T-SQL script](https://github.com/Microsoft/sql-data-warehouse-samples/blob/master/samples/sqlops/MonitoringScripts/ImpactedTables) to identify tables impacted by skew and statistics recommendations.