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---
title: 将域或复合域附加到引用数据
description: 介绍如何在数据质量知识库中使用 SQL Server 上的 Data Quality Services (DQS)附加域或复合域。
ms.custom: seo-lt-2019
ms.date: 03/01/2017
ms.prod: sql
ms.prod_service: data-quality-services
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ms.assetid: 36af981c-d0d0-4dc6-afe5-bbb3c97845dc
author: swinarko
ms.author: sawinark
ms.openlocfilehash: dbd64575acaf5ddf2f57e99b010a8a3b1555780e
ms.sourcegitcommit: 792c7548e9a07b5cd166e0007d06f64241a161f8
ms.openlocfilehash: df671e83d80175f154a4008270c3b68dc2581b59
ms.sourcegitcommit: 035ad9197cb9799852ed705432740ad52e0a256d
ms.translationtype: MT
ms.contentlocale: zh-CN
ms.lasthandoff: 12/19/2019
ms.locfileid: "75258876"
ms.lasthandoff: 12/31/2019
ms.locfileid: "75557912"
---
# <a name="attach-domain-or-composite-domain-to-reference-data"></a>将域或复合域附加到引用数据
# <a name="attach-domain-or-composite-domain-to-reference-data---data-quality-services-dqs"></a>将域或复合域附加到引用数据-Data Quality Services (DQS)

[!INCLUDE[appliesto-ss-xxxx-xxxx-xxx-md-winonly](../includes/appliesto-ss-xxxx-xxxx-xxx-md-winonly.md)]

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---
title: 使用引用数据(外部)知识清理数据
title: '使用(外部)知识引用数据清理数据 '
description: 了解如何在 SQL Server 中使用 Data Quality Services (DQS)通过引用数据提供程序中的知识清理数据。
ms.custom: seo-lt-2019
ms.date: 03/01/2017
ms.prod: sql
ms.prod_service: data-quality-services
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ms.assetid: 158009e9-8069-4741-8085-c14a5518d3fc
author: swinarko
ms.author: sawinark
ms.openlocfilehash: 30ef5c06ff9b528eaa46127f1c98b0f430a71f7d
ms.sourcegitcommit: 792c7548e9a07b5cd166e0007d06f64241a161f8
ms.openlocfilehash: fc0135ed4e4956d6bd98fc0b467a5b6d0a25a013
ms.sourcegitcommit: 035ad9197cb9799852ed705432740ad52e0a256d
ms.translationtype: MT
ms.contentlocale: zh-CN
ms.lasthandoff: 12/19/2019
ms.locfileid: "75255675"
ms.lasthandoff: 12/31/2019
ms.locfileid: "75557902"
---
# <a name="cleanse-data-using-reference-data-external-knowledge"></a>使用引用数据(外部)知识清理数据
# <a name="cleanse-data-using-external-knowledge-reference-data---data-quality-services-dqs"></a>使用(外部)知识引用数据的清理数据-Data Quality Services (DQS)

[!INCLUDE[appliesto-ss-xxxx-xxxx-xxx-md-winonly](../includes/appliesto-ss-xxxx-xxxx-xxx-md-winonly.md)]

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---
title: Configure Threshold Values for Cleansing and Matching
title: 配置清理和匹配的阈值
description: 了解如何在 SQL Server Data Quality Services (DQS)中配置在计算机辅助清理和匹配活动期间使用的阈值。
ms.custom: seo-lt-2019
ms.date: 03/01/2017
ms.prod: sql
ms.prod_service: data-quality-services
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ms.assetid: d2305409-7115-45a4-8f60-1213c0a47368
author: swinarko
ms.author: sawinark
ms.openlocfilehash: d31066ff172b0677e83e7a5dbe68f5d70e7136c8
ms.sourcegitcommit: 792c7548e9a07b5cd166e0007d06f64241a161f8
ms.openlocfilehash: 4fcbc8e4e6d6a9c1df07d8e1b1aa68c08c162817
ms.sourcegitcommit: 035ad9197cb9799852ed705432740ad52e0a256d
ms.translationtype: MT
ms.contentlocale: zh-CN
ms.lasthandoff: 12/19/2019
ms.locfileid: "75255626"
ms.lasthandoff: 12/31/2019
ms.locfileid: "75557888"
---
# <a name="configure-threshold-values-for-cleansing-and-matching"></a>Configure Threshold Values for Cleansing and Matching
# <a name="configure-threshold-values-for-cleansing-and-matching---data-quality-services-dqs"></a>配置清理和匹配的阈值-Data Quality Services (DQS)

[!INCLUDE[appliesto-ss-xxxx-xxxx-xxx-md-winonly](../includes/appliesto-ss-xxxx-xxxx-xxx-md-winonly.md)]

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---
title: 在知识发现中从 Excel 文件中导入域
title: 在知识发现中从 Excel 文件导入域
description: 了解如何在 SQL Server Data Quality Services (DQS)知识发现过程中从 excel 文件中导入域
ms.custom: seo-lt-2019
ms.date: 03/01/2017
ms.prod: sql
ms.prod_service: data-quality-services
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ms.assetid: 4d3a3940-6c2a-4dc4-90eb-86f26012c165
author: swinarko
ms.author: sawinark
ms.openlocfilehash: 38907f70b5da4d96028833c033a3c41724c47862
ms.sourcegitcommit: 792c7548e9a07b5cd166e0007d06f64241a161f8
ms.openlocfilehash: 35f5c02e7206c6a9117b31c9ca9b503fb7b6875f
ms.sourcegitcommit: 035ad9197cb9799852ed705432740ad52e0a256d
ms.translationtype: MT
ms.contentlocale: zh-CN
ms.lasthandoff: 12/19/2019
ms.locfileid: "75241788"
ms.lasthandoff: 12/31/2019
ms.locfileid: "75557952"
---
# <a name="import-domains-from-an-excel-file-in-knowledge-discovery"></a>在知识发现中从 Excel 文件中导入域
# <a name="import-domains-from-an-excel-file-in-knowledge-discovery---data-quality-services-dqs"></a>在知识发现中从 Excel 文件导入域-Data Quality Services (DQS)

[!INCLUDE[appliesto-ss-xxxx-xxxx-xxx-md-winonly](../includes/appliesto-ss-xxxx-xxxx-xxx-md-winonly.md)]

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---
title: Export and Import DQS Knowledge Bases Using DQSInstaller.exe
title: 使用 Dqsinstaller.exe 导出和导入 DQS 知识库
description: 了解如何使用 Dqsinstaller.exe 导出和导入 DQS 知识库,以便 SQL Server Data Quality Services (DQS)。
ms.custom: seo-lt-2019
ms.date: 03/01/2017
ms.prod: sql
ms.prod_service: data-quality-services
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ms.assetid: 8234c63b-a018-4e55-8184-9a6bdf03274d
author: swinarko
ms.author: sawinark
ms.openlocfilehash: bb2f2a1a1e6aa9b63478b95d7f802e3df7cd127c
ms.sourcegitcommit: 792c7548e9a07b5cd166e0007d06f64241a161f8
ms.openlocfilehash: ae87b9daebdef6b81c4d96abc253820cf7cb8228
ms.sourcegitcommit: 035ad9197cb9799852ed705432740ad52e0a256d
ms.translationtype: MT
ms.contentlocale: zh-CN
ms.lasthandoff: 12/19/2019
ms.locfileid: "75254781"
ms.lasthandoff: 12/31/2019
ms.locfileid: "75558138"
---
# <a name="export-and-import-dqs-knowledge-bases-using-dqsinstallerexe"></a>Export and Import DQS Knowledge Bases Using DQSInstaller.exe

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---
title: 运行 DQSInstaller.exe 以便完成数据质量服务器安装
title: 运行 Dqsinstaller.exe 以完成数据质量服务器安装
description: 了解如何运行 Dqsinstaller.exe 来完成 SQL Server Data Quality Services (DQS)安装。
ms.custom: seo-lt-2019
ms.date: 03/01/2017
ms.prod: sql
ms.prod_service: data-quality-services
Expand All @@ -9,12 +11,12 @@ ms.topic: conceptual
ms.assetid: 7a8c96e0-1328-4f35-97fc-b6d9cb808bae
author: swinarko
ms.author: sawinark
ms.openlocfilehash: 9921840e66adc166004143deca7f9310b6e242ca
ms.sourcegitcommit: 792c7548e9a07b5cd166e0007d06f64241a161f8
ms.openlocfilehash: 19805b5c5d41b5b39217c88cf565d9bd64c1ed9c
ms.sourcegitcommit: 035ad9197cb9799852ed705432740ad52e0a256d
ms.translationtype: MT
ms.contentlocale: zh-CN
ms.lasthandoff: 12/19/2019
ms.locfileid: "75258596"
ms.lasthandoff: 12/31/2019
ms.locfileid: "75557993"
---
# <a name="run-dqsinstallerexe-to-complete-data-quality-server-installation"></a>运行 DQSInstaller.exe 以便完成数据质量服务器安装

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---
title: 在安装 SQL Server 更新后升级 DQS 数据库架构
title: 安装 SQL Server 更新后升级 DQS 数据库架构
description: 了解如何在修补程序、修补程序或累积更新更新 SQL Server 之后,使用 Dqsinstaller.exe 升级 Data Quality Services (DQS)实例。
ms.custom: seo-lt-2019
ms.date: 03/01/2017
ms.prod: sql
ms.prod_service: data-quality-services
Expand All @@ -9,14 +11,14 @@ ms.topic: conceptual
ms.assetid: c8f3fbae-02c4-464d-a35c-7108f48c58cb
author: swinarko
ms.author: sawinark
ms.openlocfilehash: 17151ed7f20070b7db042b0bc7e7af31bc64b80e
ms.sourcegitcommit: 792c7548e9a07b5cd166e0007d06f64241a161f8
ms.openlocfilehash: db5009ef7f5c9ff2a57022d30b2eb9f009fb6ab8
ms.sourcegitcommit: 035ad9197cb9799852ed705432740ad52e0a256d
ms.translationtype: MT
ms.contentlocale: zh-CN
ms.lasthandoff: 12/19/2019
ms.locfileid: "75252813"
ms.lasthandoff: 12/31/2019
ms.locfileid: "75558032"
---
# <a name="upgrade-dqs-databases-schema-after-installing-sql-server-update"></a>在安装 SQL Server 更新后升级 DQS 数据库架构
# <a name="upgrade-dqs-databases-schema-after-installing-sql-server-update"></a>安装 SQL Server 更新后升级 DQS 数据库架构

[!INCLUDE[appliesto-ss-xxxx-xxxx-xxx-md-winonly](../../includes/appliesto-ss-xxxx-xxxx-xxx-md-winonly.md)]

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---
title: .NET Framework 更新后升级 SQLCLR 程序集
description: 了解如何在更新 .NET framework 后更新 SQL Server Data Quality Services (DQS)使用的 SQLCLR 程序集。
ms.custom: seo-lt-2019
ms.date: 03/01/2017
ms.prod: sql
ms.prod_service: data-quality-services
Expand All @@ -9,14 +11,14 @@ ms.topic: conceptual
ms.assetid: b1a008cc-7e6b-4655-a869-bd429f986400
author: swinarko
ms.author: sawinark
ms.openlocfilehash: 3ce898b31a3fa964a57492987f70356c18fd2964
ms.sourcegitcommit: 792c7548e9a07b5cd166e0007d06f64241a161f8
ms.openlocfilehash: 623fbf69ef49ceb7dfea7f2d9c6e96b7520ded3e
ms.sourcegitcommit: 035ad9197cb9799852ed705432740ad52e0a256d
ms.translationtype: MT
ms.contentlocale: zh-CN
ms.lasthandoff: 12/19/2019
ms.locfileid: "75252794"
ms.lasthandoff: 12/31/2019
ms.locfileid: "75558076"
---
# <a name="upgrade-sqlclr-assemblies-after-net-framework-update"></a>.NET Framework 更新后升级 SQLCLR 程序集
# <a name="upgrade-sqlclr-assemblies-after-net-framework-update"></a>.NET framework 更新后升级 SQLCLR 程序集

[!INCLUDE[appliesto-ss-xxxx-xxxx-xxx-md-winonly](../../includes/appliesto-ss-xxxx-xxxx-xxx-md-winonly.md)]

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---
title: 在数据质量客户端中打开 Integration Services 项目
title: 打开 Data Quality Client 中的 Integration Services (SSIS)项目
description: 了解如何使用 SQL Server Data Quality Services 的 Data Quality Client 打开 SQL Server Integration Services (SSIS)项目。
ms.custom: seo-lt-2019
ms.date: 03/01/2017
ms.prod: sql
ms.prod_service: data-quality-services
Expand All @@ -9,18 +11,18 @@ ms.topic: conceptual
ms.assetid: a8bad2f1-8fb0-4d14-a978-11a5720e62d6
author: swinarko
ms.author: sawinark
ms.openlocfilehash: a3430f8f8a9964211a01474c1d9c8a258011aeb1
ms.sourcegitcommit: 792c7548e9a07b5cd166e0007d06f64241a161f8
ms.openlocfilehash: a070f5a279cdddfb78d3188c210faf43661d5516
ms.sourcegitcommit: 035ad9197cb9799852ed705432740ad52e0a256d
ms.translationtype: MT
ms.contentlocale: zh-CN
ms.lasthandoff: 12/19/2019
ms.locfileid: "75245984"
ms.lasthandoff: 12/31/2019
ms.locfileid: "75557838"
---
# <a name="open-integration-services-projects-in-data-quality-client"></a>在数据质量客户端中打开 Integration Services 项目

[!INCLUDE[appliesto-ss-xxxx-xxxx-xxx-md-winonly](../includes/appliesto-ss-xxxx-xxxx-xxx-md-winonly.md)]

使用 Integration Services 中的 DQS 清理组件,可在批处理模式下运行清理项目。 但是,有时您可能想要查看 Integration Services 包中的清理结果,这类似于您在 DQS 的数据质量项目中,在清理活动的 **“管理和查看结果”** 选项卡中查看清理结果。 通过 DQS,您可以在 [!INCLUDE[ssDQSClient](../includes/ssdqsclient-md.md)] 中打开 Integration Services 项目,就像从 **“打开项目”** 屏幕打开任何其他数据质量项目一样,并且您将具有在 Integration Services 项目中清理结果的交互式清理体验。
Integration Services 中的 DQS 清理组件允许您在批处理模式下运行清理项目。 但是,有时您可能想要查看 Integration Services 包中的清理结果,这类似于您在 DQS 的数据质量项目中,在清理活动的 **“管理和查看结果”** 选项卡中查看清理结果。 通过 DQS,您可以在 [!INCLUDE[ssDQSClient](../includes/ssdqsclient-md.md)] 中打开 Integration Services 项目,就像从 **“打开项目”** 屏幕打开任何其他数据质量项目一样,并且您将具有在 Integration Services 项目中清理结果的交互式清理体验。

## <a name="BeforeYouBegin"></a>开始之前

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---
title: 打开、解锁、重命名和删除数据质量项目
description: 了解如何使用 SQL Server Data Quality Services 打开、解锁、重命名和删除数据质量项目。
ms.custom: seo-lt-2019
ms.date: 03/01/2017
ms.prod: sql
ms.prod_service: data-quality-services
Expand All @@ -16,14 +18,14 @@ helpviewer_keywords:
ms.assetid: de8a2b04-4673-4beb-b4cf-96a28cdf3a93
author: swinarko
ms.author: sawinark
ms.openlocfilehash: d849ca48b5e4a1cc8d01eebc1649075251da3fd0
ms.sourcegitcommit: 792c7548e9a07b5cd166e0007d06f64241a161f8
ms.openlocfilehash: 666e7fdbc080af3ed259dae978bd782e437eae2e
ms.sourcegitcommit: 035ad9197cb9799852ed705432740ad52e0a256d
ms.translationtype: MT
ms.contentlocale: zh-CN
ms.lasthandoff: 12/19/2019
ms.locfileid: "75245971"
ms.lasthandoff: 12/31/2019
ms.locfileid: "75557798"
---
# <a name="open-unlock-rename-and-delete-a-data-quality-project"></a>打开、解锁、重命名和删除数据质量项目
# <a name="open-unlock-rename-and-delete-a-data-quality-project---data-quality-services-dqs"></a>打开、解锁、重命名和删除数据质量项目-Data Quality Services (DQS)

[!INCLUDE[appliesto-ss-xxxx-xxxx-xxx-md-winonly](../includes/appliesto-ss-xxxx-xxxx-xxx-md-winonly.md)]

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---
title: DQS 域支持的 SQL Server 和 SSIS 数据类型
description: 描述 SQL Server 中的数据质量服务(DQS)域(数据、十进制、整数和字符串)的四种数据类型。
ms.custom: seo-lt-2019
ms.date: 11/08/2011
ms.prod: sql
ms.prod_service: data-quality-services
Expand All @@ -9,12 +11,12 @@ ms.topic: conceptual
ms.assetid: 4931143a-b84d-478b-9b45-174128d36ed3
author: swinarko
ms.author: sawinark
ms.openlocfilehash: 57950290bdf2b7f83463fa6b950db90a4bdbb9f0
ms.sourcegitcommit: 792c7548e9a07b5cd166e0007d06f64241a161f8
ms.openlocfilehash: cff5cf3a2a6095b79537571d63ee428c500789c6
ms.sourcegitcommit: 035ad9197cb9799852ed705432740ad52e0a256d
ms.translationtype: MT
ms.contentlocale: zh-CN
ms.lasthandoff: 12/19/2019
ms.locfileid: "75257775"
ms.lasthandoff: 12/31/2019
ms.locfileid: "75558162"
---
# <a name="supported-sql-server-and-ssis-data-types-for-dqs-domains"></a>DQS 域支持的 SQL Server 和 SSIS 数据类型

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> [!NOTE]
> 在 .xlsx 和 .xls 文件中,源列的数据类型由前八行中最主要的数据类型确定。 如果某一单元不符合该数据类型,将向它提供 null 值。 同样,在 .csv 文件中,源列的数据类型由前八行中最主要的数据类型确定。
## <a name="SQLServer"></a>支持的 SQL Server 数据类型
## <a name="SQLServer"></a>支持的 SQL Server 数据类型
下表提供有关对于每种 DQS 域数据类型支持的 SQL Server 数据类型的信息:

|DQS 域数据类型|支持的 SQL Server 数据类型|
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