Microsoft Data Mining Lifecycle CRISP-DM SSAS (Data Mining) Excel SSAS (DSV) Query Excel SSIS SSAS SSRS Excel Your Apps SSIS SSAS Excel Data Business Understanding Data Understanding Data Preparation Modeling Evaluation Deploymentĭemo 1 – Explore / Clean / Partition Dataĭata Mining – Logical Model Mining Model Mining Model Training Data DB data Client data Application data Data Mining Engine Data To Predict Predicted Data Mining Model DB data Client data Application data “ Just one row ” Data Mining Engineĭata Mining - Physical Model Analysis Services Server Mining Model Data Mining Algorithm Data Source Your Application OLE DB/ ADOMD/ XMLA Deploy BI Dev Studio (Visual Studio) App Dataĭata Mining Interfaces – APIs XMLA Over TCP/IP XMLA Over HTTP Analysis Server (msmdsrv.exe) OLAP Data Mining Server ADOMD.NET. Microsoft’s Predictive Analytics Data Mining SQL extensions (DMX) Application Developer Data Mining Specialist Microsoft Dynamics CRM Analytics Foundation SQL Server 2005 Business Intelligence Development Studio Microsoft SQL Server 2008 Analysis Services Information Worker Data Mining Add-ins for the 2007 Microsoft Office system Microsoft SQL Server 2008 Data Mining BI Analyst Custom Algorithmsĭata Mining Add-ins for Office 2007 Table Analysis Tools for Excel 2007 Data Mining Template for Visio 2007 Data Mining Client for Excel 2007 Information Worker BI Analyst Data Mining Specialist
#2. sql server business intelligence development studio 2008 software#
What and Why Data Mining? Predictive Analytics Presentation Exploration Discovery Passive Interactive Proactive Role of Software Business Insight Canned reporting Ad-hoc reporting OLAP Data miningīI for Everyone Enterprise – Performance Point Individual – Excel Project – Share Point
Session Objectives and Agenda Understand what, why, when & how of SQL Server 2008 Data Mining Examine the core functionality of the Data Mining Extensions Hear about the new and/or advanced functionality of Data Mining
Session Prerequisites Working SQL Server 2005 Developer Understanding of OLAP concepts Working SQL Server Analysis Server 2005 Developer Interest in or basic knowledge of Data Mining concepts SSAS 2008 Data Mining Lynn Langit MSDN Developer Evangelist – Southern California
0 kommentar(er)
