Analysis Services works in a simple client-server architecture, allowing clients to connect through a TCP/IP connection or using IIS to connect through HTTP through the Internet. Analysis Services provides a variety of clients, such as OLE DB, ADOMD.Net, and more. Rather than introducing a new communication mechanism for each client, each client is merely a thin shim that communicates with the server by producing and consuming the core Analysis Services interface, which is XML for Analysis (XMLA). XMLA is a simple XML protocol for communicating with analysis servers regardless of the source or destination platform. XMLA is covered in more detail in the next section.
When a request is received by the server, Analysis Services determines whether the request is an OLAP request or a data mining request and routes the request appropriately. In the end, a data mining request invokes a data mining algorithm that can be one created by Microsoft and included with the product, or can be a custom third-party plug-in algorithm loaded into the Analysis Services server. Additionally, a user-defined stored procedure can be invoked that uses a server-side version of the client ADOMD.Net interface to access server objects and model content directly.
A diagram of the data mining client architecture is displayed in Figure. The shaded boxes represent components that are part of Analysis Services, and, where appropriate, identify the files necessary to use the component.
Data Mining Related Tutorials
|R Programming language Tutorial|
Data Mining Related Interview Questions
|Data Mining Interview Questions||Data Center Management Interview Questions|
|Clinical SAS Interview Questions||Machine learning Interview Questions|
|Data analyst Interview Questions||R Programming language Interview Questions|
|Advanced SAS Interview Questions||Data Center Technician Interview Questions|
|Data Analysis Expressions (DAX) Interview Questions||Predictive Modeling Interview Questions|
Data Mining Tutorial
Introduction To Data Mining
Ole Db For Data Mining
Using Sql Server Data Mining
Microsoft Naive Bayes
Microsoft Decision Trees
Microsoft Time Series
Microsoft Sequence Clustering
Microsoft Association Rules
Microsoft Neural Network
Mining Olap Cubes
Data Mining With Sql Server Integration Services
Sql Server Data Mining Architecture
Programming Sql Server Data Mining
Implementing A Web Cross-selling Application
Advanced Forecasting Using Microsoft Excel
Extending Sql Server Data Mining
Conclusion And Additional Resources
All rights reserved © 2018 Wisdom IT Services India Pvt. Ltd
Wisdomjobs.com is one of the best job search sites in India.