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title Data Mining Architecture | Microsoft Docs
ms.custom
ms.date 06/13/2017
ms.prod sql-server-2014
ms.reviewer
ms.technology analysis-services
ms.topic conceptual
ms.assetid 105f52e1-ad3b-4cd0-b67b-06dbb451c304
author minewiskan
ms.author owend
manager craigg

Data Mining Architecture

This section describes the architecture of data mining solutions that are hosted in an instance of [!INCLUDEssASnoversion]. The topics in this section describe the logical and physical architecture of an [!INCLUDEssASnoversion] instance that supports data mining, and also provide information about the clients, providers, and protocols that can be used to communicate with data mining servers, and to work with data mining objects either locally or remotely.

In general, SQL Server Data Mining operates as a service that is provided as part of an [!INCLUDEssASnoversion] instance running in multidimensional mode; therefore, we recommend that you also review the following sections of Books Online that describe the operation, maintenance, and configuration of [!INCLUDEssASnoversion] multidimensional solutions.

Multidimensional Model Object Processing

Connect to Analysis Services

Database Storage Location

Switch an Analysis Services database between ReadOnly and ReadWrite modes

For more information about how you can implement data mining in your business intelligence solution, see the Solution Guides section of the MSDN Library.

In This Section

Logical Architecture (Analysis Services - Data Mining)

Physical Architecture (Analysis Services - Data Mining)

Data Mining Services and Data Sources

Management of Data Mining Solutions and Objects

Security Overview (Data Mining)

See Also

Multidimensional Model Programming
Data Mining Programming