Pencil fix - Acrolinx

HD Insight > HDInsight (2x)

Author: denrea

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

@@ -150,7 +150,7 @@ Then, review the [Access control model in Azure Data Lake Storage Gen2](data-lak
 
 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. 
 
-For example, you can ingest large sets of data from HD Insight and Hadoop clusters or smaller sets of *ad hoc* data for prototyping applications. You can ingest streamed data that is generated by various sources such as applications, devices, and sensors. For this type of data, 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. You can also ingest web server which contain information such as the history of page requests. For log data, consider writing custom scripts or applications to upload them so that you'll have the flexibility to include your data uploading component as part of your larger big data application. 
+For example, you can ingest large sets of data from HDInsight and Hadoop clusters or smaller sets of *ad hoc* data for prototyping applications. You can ingest streamed data that is generated by various sources such as applications, devices, and sensors. For this type of data, 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. You can also ingest web server which contain information such as the history of page requests. For log data, consider writing custom scripts or applications to upload them so that 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 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. 
 
@@ -162,7 +162,7 @@ The following table recommends tools that you can use to ingest, analyze, visual
 | 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) |
 | Ingest relational data | [Azure Data Factory](../../data-factory/connector-azure-data-lake-store.md) |
 | Ingest web server logs | [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 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 Data Factory](../../data-factory/connector-azure-data-lake-store.md) |
-| Ingest from HD Insight clusters | [Azure Data Factory](../../data-factory/connector-azure-data-lake-store.md), [Apache DistCp](data-lake-storage-use-distcp.md), [AzCopy](../common/storage-use-azcopy-v10.md) |
+| Ingest from HDInsight clusters | [Azure Data Factory](../../data-factory/connector-azure-data-lake-store.md), [Apache DistCp](data-lake-storage-use-distcp.md), [AzCopy](../common/storage-use-azcopy-v10.md) |
 | Ingest from Hadoop clusters | [Azure Data Factory](../../data-factory/connector-azure-data-lake-store.md), [Apache DistCp](data-lake-storage-use-distcp.md), [WANdisco LiveData Migrator for Azure](migrate-gen2-wandisco-live-data-platform.md), [Azure Data Box](data-lake-storage-migrate-on-premises-hdfs-cluster.md) |
 | Ingest large data sets (several terabytes) | [Azure ExpressRoute](../../expressroute/expressroute-introduction.md) |
 | Process & analyze data | [Azure Synapse Analytics](../../synapse-analytics/get-started-analyze-storage.md), [Azure HDInsight](../../hdinsight/hdinsight-hadoop-use-data-lake-storage-gen2.md), [Databricks](/azure/databricks/scenarios/databricks-extract-load-sql-data-warehouse) |