resolving warnings

Author: julieMSFT

.openpublishing.redirection.json

@@ -41745,11 +41745,6 @@
             "redirect_document_id": true
         },
         {
-            "source_path": "articles/sql-data-warehouse/sql-data-warehouse-concept-recommendations.md",
-            "redirect_url": "/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-concept-recommendations",
-            "redirect_document_id": true
-        },
-       {
             "source_path": "articles/sql-data-warehouse/sql-data-warehouse-connect-overview.md",
             "redirect_url": "/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-connect-overview",
             "redirect_document_id": true

articles/azure-databricks/what-is-azure-databricks.md

@@ -18,7 +18,7 @@ Azure Databricks is an Apache Spark-based analytics platform optimized for the M
 
 ![What is Azure Databricks?](./media/what-is-azure-databricks/azure-databricks-overview.png "What is Azure Databricks?")
 
-Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics service. For a big data pipeline, the data (raw or structured) is ingested into Azure through Azure Data Factory in batches, or streamed near real-time using Kafka, Event Hub, or IoT Hub. This data lands in a data lake for long term persisted storage, in Azure Blob Storage or Azure Data Lake Storage. As part of your analytics workflow, use Azure Databricks to read data from multiple data sources such as [Azure Blob Storage](../storage/blobs/storage-blobs-introduction.md), [Azure Data Lake Storage](../data-lake-store/index.yml), [Azure Cosmos DB](../cosmos-db/index.yml), or [Azure SQL Data Warehouse](../synapse-anlaytics/sql-data-warehouse/index.yml) and turn it into breakthrough insights using Spark.
+Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics service. For a big data pipeline, the data (raw or structured) is ingested into Azure through Azure Data Factory in batches, or streamed near real-time using Kafka, Event Hub, or IoT Hub. This data lands in a data lake for long term persisted storage, in Azure Blob Storage or Azure Data Lake Storage. As part of your analytics workflow, use Azure Databricks to read data from multiple data sources such as [Azure Blob Storage](../storage/blobs/storage-blobs-introduction.md), [Azure Data Lake Storage](../data-lake-store/index.yml), [Azure Cosmos DB](../cosmos-db/index.yml), or [Azure SQL Data Warehouse](../synapse-analytics/sql-data-warehouse/index.yml) and turn it into breakthrough insights using Spark.
 
 ![Databricks pipeline](./media/what-is-azure-databricks/databricks-pipeline.png)