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Copy file name to clipboardExpand all lines: articles/data-factory/copy-activity-performance-troubleshooting.md
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* Azure Blob storage: [Scalability and performance targets for Blob storage](../storage/blobs/scalability-targets.md) and [Performance and scalability checklist for Blob storage](../storage/blobs/storage-performance-checklist.md).
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* Azure Table storage: [Scalability and performance targets for Table storage](../storage/tables/scalability-targets.md) and [Performance and scalability checklist for Table storage](../storage/tables/storage-performance-checklist.md).
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* Azure SQL Database: You can [monitor the performance](../sql-database/sql-database-single-database-monitor.md) and check the Database Transaction Unit (DTU) percentage.
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* Azure SQL Data Warehouse: Its capability is measured in Data Warehouse Units (DWUs). See [Manage compute power in Azure SQL Data Warehouse (Overview)](../sql-data-warehouse/sql-data-warehouse-manage-compute-overview.md).
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* Azure SQL Data Warehouse: Its capability is measured in Data Warehouse Units (DWUs). See [Manage compute power in Azure SQL Data Warehouse (Overview)](../synapse-analytics/sql-data-warehouse/sql-data-warehouse-manage-compute-overview.md).
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* Azure Cosmos DB: [Performance levels in Azure Cosmos DB](../cosmos-db/performance-levels.md).
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* On-premises SQL Server: [Monitor and tune for performance](https://msdn.microsoft.com/library/ms189081.aspx).
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* On-premises file server: [Performance tuning for file servers](https://msdn.microsoft.com/library/dn567661.aspx).
Copy file name to clipboardExpand all lines: articles/data-factory/v1/data-factory-copy-activity-performance.md
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* Azure Blob storage: [Scalability and performance targets for Blob storage](../../storage/blobs/scalability-targets.md) and [Performance and scalability checklist for Blob storage](../../storage/blobs/storage-performance-checklist.md).
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* Azure Table storage: [Scalability and performance targets for Table storage](../../storage/tables/scalability-targets.md) and [Performance and scalability checklist for Table storage](../../storage/tables/storage-performance-checklist.md).
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* Azure SQL Database: You can [monitor the performance](../../sql-database/sql-database-single-database-monitor.md) and check the database transaction unit (DTU) percentage
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* Azure SQL Data Warehouse: Its capability is measured in data warehouse units (DWUs); see [Manage compute power in Azure SQL Data Warehouse (Overview)](../../sql-data-warehouse/sql-data-warehouse-manage-compute-overview.md)
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* Azure SQL Data Warehouse: Its capability is measured in data warehouse units (DWUs); see [Manage compute power in Azure SQL Data Warehouse (Overview)](../../synapse-analytics/sql-data-warehouse/sql-data-warehouse-manage-compute-overview.md)
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* Azure Cosmos DB: [Performance levels in Azure Cosmos DB](../../cosmos-db/performance-levels.md)
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* On-premises SQL Server: [Monitor and tune for performance](https://msdn.microsoft.com/library/ms189081.aspx)
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* On-premises file server: [Performance tuning for file servers](https://msdn.microsoft.com/library/dn567661.aspx)
Copy file name to clipboardExpand all lines: articles/data-lake-store/data-lake-store-data-scenarios.md
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* You can start by using [Azure Data Factory to move data from Data Lake Storage Gen1 to Azure SQL Data Warehouse](../data-factory/copy-activity-overview.md)
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* After that, you can [integrate Power BI with Azure SQL Data Warehouse](../sql-data-warehouse/sql-data-warehouse-get-started-visualize-with-power-bi.md) to create visual representation of the data.
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* After that, you can [integrate Power BI with Azure SQL Data Warehouse](../synapse-analytics/sql-data-warehouse/sql-data-warehouse-get-started-visualize-with-power-bi.md) to create visual representation of the data.
Copy file name to clipboardExpand all lines: articles/data-lake-store/data-lake-store-integrate-with-other-services.md
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You can use the Data Lake Storage Gen1 connection manager in SSIS to connect an SSIS package with Data Lake Storage Gen1. For more information, see [Use Data Lake Storage Gen1 with SSIS](https://docs.microsoft.com/sql/integration-services/connection-manager/azure-data-lake-store-connection-manager).
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## Use Data Lake Storage Gen1 with SQL Data Warehouse
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You can use PolyBase to load data from Data Lake Storage Gen1 into SQL Data Warehouse. For more information see [Use Data Lake Storage Gen1 with SQL Data Warehouse](../sql-data-warehouse/sql-data-warehouse-load-from-azure-data-lake-store.md).
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You can use PolyBase to load data from Data Lake Storage Gen1 into SQL Data Warehouse. For more information see [Use Data Lake Storage Gen1 with SQL Data Warehouse](../synapse-analytics/sql-data-warehouse/sql-data-warehouse-load-from-azure-data-lake-store.md).
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## Use Data Lake Storage Gen1 with Azure Event Hubs
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You can use Azure Data Lake Storage Gen1 to archive and capture data received by Azure Event Hubs. For more information see [Use Data Lake Storage Gen1 with Azure Event Hubs](data-lake-store-archive-eventhub-capture.md).
Copy file name to clipboardExpand all lines: articles/hdinsight/hadoop/apache-hadoop-etl-at-scale.md
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Azure SQL DW is a great choice to store cleaned and prepared results for future analytics. Azure HDInsight can be used to perform those services for Azure SQL DW.
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Azure SQL Data Warehouse (SQL DW) is a relational database store optimized for analytic workloads. Azure SQL DW scales based on partitioned tables. Tables can be partitioned across multiple nodes. Azure SQL DW nodes are selected at the time of creation. They can scale after the fact, but that's an active process that might require data movement. For more information, see [SQL Data Warehouse - Manage Compute](../../sql-data-warehouse/sql-data-warehouse-manage-compute-overview.md).
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Azure SQL Data Warehouse (SQL DW) is a relational database store optimized for analytic workloads. Azure SQL DW scales based on partitioned tables. Tables can be partitioned across multiple nodes. Azure SQL DW nodes are selected at the time of creation. They can scale after the fact, but that's an active process that might require data movement. For more information, see [SQL Data Warehouse - Manage Compute](../../synapse-analytics/sql-data-warehouse/sql-data-warehouse-manage-compute-overview.md).
Copy file name to clipboardExpand all lines: articles/machine-learning/team-data-science-process/sqldw-walkthrough.md
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***Username**
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***Password**
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**Install Visual Studio and SQL Server Data Tools.** For instructions, see [Getting started with Visual Studio 2019 for SQL Data Warehouse](../../sql-data-warehouse/sql-data-warehouse-install-visual-studio.md).
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**Install Visual Studio and SQL Server Data Tools.** For instructions, see [Getting started with Visual Studio 2019 for SQL Data Warehouse](../../synapse-analytics/sql-data-warehouse/sql-data-warehouse-install-visual-studio.md).
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**Connect to your Azure Synapse Analytics with Visual Studio.** For instructions, see steps 1 & 2 in [Connect to Azure SQL Data Warehouse](../../sql-data-warehouse/sql-data-warehouse-connect-overview.md).
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