final

Author: normesta

articles/storage/blobs/data-lake-storage-best-practices.md

@@ -148,19 +148,19 @@ Then, review the [Access control model in Azure Data Lake Storage Gen2](data-lak
 
 ## Ingest, process, and analyze
 
-There are many different sources of data and the different ways in which that data can be ingested into a Data Lake Storage Gen2 enabled account.
+There are many different sources of data and different ways in which that data can be ingested into a Data Lake Storage Gen2 enabled account.
 
-You can also ingest large sets of data from HD Insight or Hadoop clusters or smaller sets of *ad hoc* data for prototyping applications. 
+For example, you can ingest large sets of data from HD Insight and Hadoop clusters or you can ingest smaller sets of *ad hoc* data for prototyping applications. 
 
 Streamed data is generated by various sources such as applications, devices, and sensors. You can use tools to capture and process the data on an event-by-event basis in real time, and then write the events in batches into your account. 
 
 Web server logs contain information such as the history of page requests. Consider writing custom scripts or applications to upload web server logs so you'll have the flexibility to include your data uploading component as part of your larger big data application. 
 
-Once the data is available in Data Lake Storage Gen2 you can run analysis on that data, create visualizations, and even download data to your local machine or to other repositories such as an Azure SQL database or SQL Server instance. 
+Once the data is available in your account, you can run analysis on that data, create visualizations, and even download data to your local machine or to other repositories such as an Azure SQL database or SQL Server instance. 
 
-The following table recommend tools that you can use to ingest, analyze, visualize, and download data. Use the links in this table to find guidance about how to configure and use each tool. 
+The following table recommends tools that you can use to ingest, analyze, visualize, and download data. Use the links in this table to find guidance about how to configure and use each tool. 
 
-| Purpose | Recommended tools |
+| Purpose | Tools & Tool guidance |
 |---|---|
 | Ingest ad hoc data| Azure portal, [Azure PowerShell](data-lake-storage-directory-file-acl-powershell.md), [Azure CLI](data-lake-storage-directory-file-acl-cli.md), [REST](/rest/api/storageservices/data-lake-storage-gen2), [Azure Storage Explorer](https://azure.microsoft.com/features/storage-explorer/), [Apache DistCp](data-lake-storage-use-distcp.md), [AzCopy](../common/storage-use-azcopy-v10.md)|
 | Ingest streaming data | [HDInsight Storm](../../hdinsight/storm/apache-storm-write-data-lake-store.md), [Azure Stream Analytics](../../stream-analytics/stream-analytics-quick-create-portal.md) |
@@ -173,6 +173,9 @@ The following table recommend tools that you can use to ingest, analyze, visuali
 | Visualize data | [Power BI](/power-query/connectors/datalakestorage), [Azure Data Lake Storage query acceleration](data-lake-storage-query-acceleration.md) |
 | Download data | Azure portal, [PowerShell](data-lake-storage-directory-file-acl-powershell.md), [Azure CLI](data-lake-storage-directory-file-acl-cli.md), [REST](/rest/api/storageservices/data-lake-storage-gen2), Azure SDKs ([.NET](data-lake-storage-directory-file-acl-dotnet.md), [Java](data-lake-storage-directory-file-acl-java.md), [Python](data-lake-storage-directory-file-acl-python.md), and [Node.js](data-lake-storage-directory-file-acl-javascript.md)), [Azure Storage Explorer](data-lake-storage-explorer.md), [AzCopy](../common/storage-use-azcopy-v10.md#transfer-data), [Azure Data Factory](../../data-factory/copy-activity-overview.md), [Apache DistCp](./data-lake-storage-use-distcp.md) |
 
+> [!NOTE]
+> This table doesn't reflect the complete list of Azure services that support Data Lake Storage Gen2. To see a list of supported Azure services, their level of support, see [Azure services that support Azure Data Lake Storage Gen2](data-lake-storage-supported-azure-services.md). 
+
 
 ## Monitor telemetry
 

articles/storage/blobs/data-lake-storage-integrate-with-services-tutorials.md

@@ -32,8 +32,8 @@ This article contains links to tutorials that show you how to use various Azure
 | Azure Cognitive Search | [Index and search Azure Data Lake Storage Gen2 documents (preview)](../../search/search-howto-index-azure-data-lake-storage.md) |
 
 > [!NOTE]
-> This table doesn't reflect the complete list of Azure services that support Data Lake Storage Gen2. To see a list of supported Azure services, their level of support, see [Azure services that support Azure Data Lake Storage Gen2](data-lake-storage-supported-azure-services.md)
+> This table doesn't reflect the complete list of Azure services that support Data Lake Storage Gen2. To see a list of supported Azure services, their level of support, see [Azure services that support Azure Data Lake Storage Gen2](data-lake-storage-supported-azure-services.md). 
 
-## Next steps
+## Next Steps
 
-- Learn how these services can be used together to build workloads that ingest, download, process, and visualize data. See [Using Azure Data Lake Storage Gen2 for big data requirements](data-lake-storage-data-scenarios.md).
+- Learn how these services can be used together to build workloads that ingest, download, process, and visualize data. See [Ingest, process, and analyze](data-lake-storage-data-scenarios.md#ingest-process-and-analyze).

articles/storage/blobs/data-lake-storage-supported-azure-services.md

@@ -41,6 +41,9 @@ This table lists the Azure services that you can use with Azure Data Lake Storag
 |Azure Content Delivery Network|Not yet supported|Not applicable|Not applicable|[Index and search Azure Data Lake Storage Gen2 documents (preview)](../../cdn/cdn-overview.md)|
 |Azure SQL Database|Not yet supported|Not applicable|Not applicable|[What is Azure SQL Database?](../../azure-sql/database/sql-database-paas-overview.md)|
 
+> [!TIP]
+> To see how these services can be used together to build workloads that ingest, download, process, and visualize data. See [Ingest, process, and analyze](data-lake-storage-data-scenarios.md#ingest-process-and-analyze).
+
 ## See also
 
 - [Known issues with Azure Data Lake Storage Gen2](data-lake-storage-known-issues.md)