SQLServerCentral.com Content tagged Data Warehousing, Data Mininghttp://www.sqlservercentral.com/Content tagged Data Warehousing, Data Mining posted on SQLServerCentral.comen-us360sjones@sqlservercentral.com (Steve Jones)Generating lift reports using Reporting Services - Part 1This tip explores a DMX extension introduced in SQL Server 2005 SP2 that can be used to render lift reports directly in Reporting Services.http://www.sqlservercentral.com/redirect/articles/3014/2007/05/24http://www.sqlservercentral.com/redirect/articles/3014/Data Validation Sample This video sample shows how the clustering algorithm can be used to automatically validate data.http://www.sqlservercentral.com/redirect/articles/2668/2006/11/08http://www.sqlservercentral.com/redirect/articles/2668/Executing predictions from the SQL Server relational engine This tip shows you how to execute and use the results of prediction queries in multiple ways within the SQL Server relational database engine.http://www.sqlservercentral.com/redirect/articles/2616/2006/10/10http://www.sqlservercentral.com/redirect/articles/2616/Mining in-memory dataThis article explains how desktop applications can use SQL Server 2005 Data Mining to analyze in-memory data.http://www.sqlservercentral.com/redirect/articles/2615/2006/10/03http://www.sqlservercentral.com/redirect/articles/2615/Building Data Mining Solutions with OLE DB for DM and XML for AnalysisThis article, published in the June 2005 issue of SIGMOD Record, provides an overview of SQL Server Data Mining from a standards perspective.http://www.sqlservercentral.com/redirect/articles/2416/2006/05/24http://www.sqlservercentral.com/redirect/articles/2416/Data Mining Reloaded The two main functions of data mining are classification and prediction (or forecasting). Data mining helps you make sense of those countless gigabytes of raw data stored in databases by finding important patterns and rules present in the data or derived from it. Analysts then use this knowledge to make predictions and recommendations about new or future data. The main business applications of data mining are learning who your customers are and what they need, understanding where the sales are coming from and what factors affect them, fashioning marketing strategies, and predicting future business indicators.http://www.sqlservercentral.com/redirect/articles/1757/2005/03/04http://www.sqlservercentral.com/redirect/articles/1757/Unearth the New Data Mining Features of Analysis Services 2005An article from Microsoft Journal looking at the new Mining features of SQL Server 2005. If you're interested in Analysis Services, this ias a good look (from a high level) at the next version.http://www.sqlservercentral.com/redirect/articles/1469/2004/08/19http://www.sqlservercentral.com/redirect/articles/1469/Comparison of Business Intelligence Strategies between SQL and OracleDinesh does a good write up on research he did investigating the BI market and doing a feature comparison between Oracle 9i and SQL 2000. Simple bullet point format, worth a look. http://www.sqlservercentral.com/articles/Miscellaneous/comparisonofbusinessintelligencestrategiesbetweens/993/2003/05/19http://www.sqlservercentral.com/articles/Miscellaneous/comparisonofbusinessintelligencestrategiesbetweens/993/The Data Mining Cluster Analysis AlgorithmProvides audience with information on cluster analysis algorithm. http://www.sqlservercentral.com/redirect/articles/200/2001/05/07http://www.sqlservercentral.com/redirect/articles/200/Analysis Services EnhancementsIn SQL Server 2000, Microsoft has closed the gap between its multidimensional database offering, OLAP Services, and the rest of the market place. http://www.sqlservercentral.com/articles/OLAP+Server/72/2001/04/22http://www.sqlservercentral.com/articles/OLAP+Server/72/