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articles/synapse-analytics/quickstart-sql-on-demand.md

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The following image is a preview of the file to be queried:
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![First 10 rows of the CSV file without header, Windows style new line.](./sql-analytics/media/querying-single-csv-file/population.png)
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![First 10 rows of the CSV file without header, Windows style new line.](./sql/media/querying-single-csv-file/population.png)
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The following query shows how to read a CSV file that does not contain a header row, with Windows-style new line, and comma-delimited columns:
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articles/synapse-analytics/sql/aad-authentication.md

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## Next steps
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- For an overview of access and control in SQL Analytics, see [SQL Analytics access control](../sql-analytics/access-control.md).
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- For an overview of access and control in SQL Analytics, see [SQL Analytics access control](../sql/access-control.md).
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- For more information about database principals, see [Principals](https://msdn.microsoft.com/library/ms181127.aspx).
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- For more information about database roles, see [Database roles](https://msdn.microsoft.com/library/ms189121.aspx).
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<!--Image references-->
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[1]: ./media/sql-analytics-aad-authentication/1aad-auth-diagram.png
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[2]: ./media/sql-analytics-aad-authentication/2subscription-relationship.png
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[3]: ./media/sql-analytics-aad-authentication/3admin-structure.png
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[4]: ./media/sql-analytics-aad-authentication/4select-subscription.png
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[5]: ./media/sql-analytics-aad-authentication/5ad-settings-portal.png
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[6]: ./media/sql-analytics-aad-authentication/6edit-directory-select.png
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[7]: ./media/sql-analytics-aad-authentication/7edit-directory-confirm.png
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[8]: ./media/sql-analytics-aad-authentication/8choose-ad.png
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[9]: ./media/sql-analytics-aad-authentication/9ad-settings.png
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[10]: ./media/sql-analytics-aad-authentication/10choose-admin.png
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[11]: ./media/sql-analytics-aad-authentication/11connect-using-int-auth.png
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[12]: ./media/sql-analytics-aad-authentication/12connect-using-pw-auth.png
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[13]: ./media/sql-analytics-aad-authentication/13connect-to-db.png
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[1]: ./media/sql-aad-authentication/1aad-auth-diagram.png
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[2]: ./media/sql-aad-authentication/2subscription-relationship.png
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[3]: ./media/sql-aad-authentication/3admin-structure.png
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[4]: ./media/sql-aad-authentication/4select-subscription.png
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[5]: ./media/sql-aad-authentication/5ad-settings-portal.png
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[6]: ./media/sql-aad-authentication/6edit-directory-select.png
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[7]: ./media/sql-aad-authentication/7edit-directory-confirm.png
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[8]: ./media/sql-aad-authentication/8choose-ad.png
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[9]: ./media/sql-aad-authentication/9ad-settings.png
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[10]: ./media/sql-aad-authentication/10choose-admin.png
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[11]: ./media/sql-aad-authentication/11connect-using-int-auth.png
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[12]: ./media/sql-aad-authentication/12connect-using-pw-auth.png
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[13]: ./media/sql-aad-authentication/13connect-to-db.png
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articles/synapse-analytics/sql/create-use-external-tables.md

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## Next steps
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For information on how to store results of a query to the storage refer to the [Store query results to the storage](../sql-analytics/create-external-table-as-select.md).
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For information on how to store results of a query to the storage refer to the [Store query results to the storage](../sql/create-external-table-as-select.md).

articles/synapse-analytics/sql/data-load-columnstore-compression.md

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## Next steps
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To find more ways to improve performance in SQL Analytics, see the [Performance overview](../../cosmos-db/cheat-sheet.md?toc=/azure/synapse-analytics/toc.json&bc=/azure/synapse-analytics/breadcrumb/toc.json).
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To find more ways to improve performance in SQL Analytics, see the [Performance overview](../overview-cheat-sheet.md?toc=/azure/synapse-analytics/toc.json&bc=/azure/synapse-analytics/breadcrumb/toc.json).
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articles/synapse-analytics/sql/data-loading-best-practices.md

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## Loading to a columnstore index
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Columnstore indexes require large amounts of memory to compress data into high-quality rowgroups. For best compression and index efficiency, the columnstore index needs to compress the maximum of 1,048,576 rows into each rowgroup. When there is memory pressure, the columnstore index might not be able to achieve maximum compression rates. This in turn effects query performance. For a deep dive, see [Columnstore memory optimizations](../sql-analytics/data-load-columnstore-compression.md).
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Columnstore indexes require large amounts of memory to compress data into high-quality rowgroups. For best compression and index efficiency, the columnstore index needs to compress the maximum of 1,048,576 rows into each rowgroup. When there is memory pressure, the columnstore index might not be able to achieve maximum compression rates. This in turn effects query performance. For a deep dive, see [Columnstore memory optimizations](data-load-columnstore-compression.md).
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- To ensure the loading user has enough memory to achieve maximum compression rates, use loading users that are a member of a medium or large resource class.
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- Load enough rows to completely fill new rowgroups. During a bulk load, every 1,048,576 rows get compressed directly into the columnstore as a full rowgroup. Loads with fewer than 102,400 rows send the rows to the deltastore where rows are held in a b-tree index. If you load too few rows, they might all go to the deltastore and not get compressed immediately into columnstore format.

articles/synapse-analytics/sql/data-loading-overview.md

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- [Azure ExpressRoute](../../expressroute/expressroute-introduction.md) service enhances network throughput, performance, and predictability. ExpressRoute is a service that routes your data through a dedicated private connection to Azure. ExpressRoute connections do not route data through the public internet. The connections offer more reliability, faster speeds, lower latencies, and higher security than typical connections over the public internet.
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- [AZCopy utility](../../storage/common/storage-use-azcopy-v10.md) moves data to Azure Storage over the public internet. This works if your data sizes are less than 10 TB. To perform loads on a regular basis with AZCopy, test the network speed to see if it is acceptable.
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- [Azure Data Factory (ADF)](../../azure-netapp-files/introduction.md) has a gateway that you can install on your local server. Then you can create a pipeline to move data from your local server up to Azure Storage. To use Data Factory with SQL pool, see [Load data into SQL pool](../../data-factory/load-azure-sql-data-warehouse.md).
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- [Azure Data Factory (ADF)](../../data-factory/introduction.md) has a gateway that you can install on your local server. Then you can create a pipeline to move data from your local server up to Azure Storage. To use Data Factory with SQL pool, see [Load data into SQL pool](../../data-factory/load-azure-sql-data-warehouse.md).
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## 3. Prepare the data for loading
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For loading guidance, see [Guidance for load data](../sql-analytics/data-loading-best-practices.md).
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For loading guidance, see [Guidance for load data](data-loading-best-practices.md).
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articles/synapse-analytics/sql/develop-overview.md

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| | SQL pool | SQL on-demand |
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| ----------------------------------------------------- | ---- | ---- |
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| [Connections](../sql-analytics/connect-overview.md) | Yes | Yes |
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| [Connections](connect-overview.md) | Yes | Yes |
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| [Resource classes and concurrency](../sql-data-warehouse/resource-classes-for-workload-management.md?toc=/azure/synapse-analytics/toc.json&bc=/azure/synapse-analytics/breadcrumb/toc.json) | Yes | No |
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| [Transactions](develop-transactions.md) | Yes | No |
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| [User-defined schemas](develop-user-defined-schemas.md) | Yes | Yes |
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| | SQL pool | SQL on-demand |
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| ------------------------------------------ | ------------------ | ----------------------- |
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| [Stored procedures](develop-stored-procedures.md) | Yes | No |
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| [Labels](../sql-data-warehouse/develop-label.md) | Yes | No |
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| [Labels](develop-label.md) | Yes | No |
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| [Views](develop-views.md) | Yes | Yes |
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| [Temporary tables](develop-tables-temporary.md) | Yes | Yes |
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| [Dynamic SQL](../sql-data-warehouse/develop-dynamic-sql.md) | Yes | Yes |
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| [Looping](../sql-data-warehouse/develop-loops.md) | Yes | Yes |
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| [Group by options](../sql-data-warehouse/develop-group-by-options.md) | Yes | No |
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| [Dynamic SQL](develop-dynamic-sql.md) | Yes | Yes |
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| [Looping](develop-loops.md) | Yes | Yes |
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| [Group by options](develop-group-by-options.md) | Yes | No |
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| [Variable assignment](develop-variable-assignment.md) | Yes | Yes |
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## Next steps

articles/synapse-analytics/sql/develop-storage-files-overview.md

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- [Query Parquet nested types](query-parquet-nested-types.md)
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- [Query folders and multiple CSV files](query-folders-multiple-csv-files.md)
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- [Use file metadata in queries](query-specific-files.md)
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- [Create and use views](../sql-analytics/create-use-views.md)
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- [Create and use views](create-use-views.md)

articles/synapse-analytics/sql/develop-storage-files-storage-access-control.md

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- [Query folders and multiple CSV files](query-folders-multiple-csv-files.md)
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- [Query specific files](query-specific-files.md)
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- [Query Parquet files](query-parquet-files.md)
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- [Create and use views](../sql-analytics/create-use-views.md)
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- [Create and use views](create-use-views.md)
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- [Query JSON files](query-json-files.md)
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- [Query Parquet nested types](query-parquet-nested-types.md)

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