Microsoft SQL Server 2005 Data Mining Webcasts
On Demand Webcasts
Building and Validating Advanced Mining Models with SQL Server 2008 Data Mining
SQL Server 2008 includes several important enhancements for Data Mining. One area will be of particular interest to the user who has progressed beyond simple models--there are new features for building many and varied models over common mining structures, and also for validating the accuracy of these models. In this webcast you will learn how to use these new techniques not only through the user interface, but also programmatically from within your own applications.
Mastering Time Series Prediction with SQL Server 2008 Data Mining
Time series data is one of the most useful sources for data mining. Whether it is estimating future gasoline prices or understanding the relationship between the weather and sales, there is a role for time series analysis. In the new release of SQL Server 2008 Data Mining, Microsoft has introduced some important enhancements to our support in this area, making powerful analysis both more effective and easier to use. This webcast not only introduces these new features, but also covers in useful data many of the business scenarios for which time series prediction is invaluable.
Mining for quality: Apply adaptive data quality with SQL Server Data Mining
Good quality data is essential to a successful business intelligence application. You are probably aware that SQL Server includes some useful data quality tools such as Fuzzy Grouping or Fuzzy Lookup. However, there is one tool you may have overlooked: SQL Server Data Mining. When used operationally, SQL Server Data Mining is extremely useful for finding data that lies outside the boundaries of known good data--and it finds these outliers inductively rather than relying on exhaustively hard-coded rules. This webcast introduces this new, adaptive approach to data quality and shows how adaptive quality can be applied at many phases of the business intelligence project: whether data entry, during warehouse loading, or during analysis.
Preparing data for use with SQL Server Data Mining
Many users who struggle with data mining do not realize that their problems start with badly prepared data. This webcast is a very practical introduction to some of the important topics that you should understand when preparing your data for a data mining project. Issues include finding the right data, handling missing values, identifying and fixing overloaded fields, and deriving useful variables.
Part 1 of 3: Your First Project with SQL Server Data Mining
Many users are intrigued and excited to see data mining available in the Microsoft SQL Server product, but many don't know how to start using these features. In this webcast, we lead you through the first steps to success for your data mining projects. We look at the overall architecture of data mining and the kinds of problems that can be solved. We also look at important points for your first project, such as choosing the right algorithms and testing your mining models.
Part 2 of 3: Understand SQL Server Data Mining Add-ins for the 2007 Office System
Microsoft SQL Server Data Mining Add-ins for Excel empower information workers with an easy-to-use, yet remarkably complete, set of tools for predictive analysis, directly within their tool of choice, Microsoft Office Excel. Attend this webcast to understand how add-ins can enable your employees to utilize this simple and powerful technology to perform advanced analysis.
Part 3 of 3: Use Predictive Intelligence to Create Smarter KPIs
The key performance indicator (KPI) is an essential tool in building business intelligence applications for executive and strategic use. However, traditional KPIs are built over historical data, showing what has happened in the past and the current state of the business. There is increasing demand for "predictive KPIs," which show not only current status but project future status. For example, rather than knowing how many customers churned last quarter, would it not be useful to know how many customers are in danger of churning next quarter? This webcast demonstrates how to design, build, and deploy predictive KPIs using Microsoft SQL Server Data Mining. Although there are useful worked examples, even non-technical users can benefit from this webcast by finding new possibilities for KPIs.
Build Smart Web Applications with SQL Server Data Mining
Web applications typically generate large quantities of data, often capturing important aspects of your customers’ behavior. What you may not realize is that this data can be excellent for data mining, and the results can be extremely useful in building out smarter applications and Web front ends. In this session, we introduce the concept of a “smart application” and walk through specific examples of how to build these compelling technologies in for your own Web audience.
Building Adaptive Applications with SQL Server Data Mining
There are many interesting and well-known uses of data mining for business analysis. However, for the application developer, data mining can also be useful to build adaptive “intelligent” applications. In this webcast, we demonstrate how to build a simple application that collects data about usage as it goes along, and then uses that data to offer smart defaults—a truly adaptive application.
Extending and Customizing SQL Server Data Mining
SQL Server Data Mining is not just a powerful application, it is a complete platform that customers and partners can embed, extend, and customize themselves. In this webcast, we look at various ways in which this can be achieved. In particular, we look at custom algorithms and stored procedures, which can extend the range of the analytic technology. You will learn techniques for designing, building, and testing these interesting and useful extensions.
Creating Visualizations for SQL Server Data Mining
Data mining is well known for empowering users with insightful analyses from vast quantities of information. In many cases, the best way to present these analyses is visually. SQL Server Data Mining includes useful visualization tools that can be embedded in your own applications. However, it is also possible to write your own visualizations, which can be useful for your specific needs. In the webcast, we show how to embed the existing visualization tools, but also how to “roll your own.” Examples include both rich and thin client visualizations.
Data Mining Add-ins for the 2007 Office System
Microsoft SQL Server 2005 Analysis Services contains data mining and predictive analytical functionality that makes advanced analytics accessible to a much wider audience than ever before. In this webcast, learn about the Data Mining Add-ins for the 2007 Office system, and see exciting demonstrations that highlight these enhancements to Microsoft Office Excel 2007 functionality that is accessible by any user.
Introduction to Data Mining with SQL Server 2005
Microsoft SQL Server 2005 expands your data mining capabilities dramatically. This webcast introduces you to the possibilities of data mining and predictive analytics. Learn about the data mining process, which is what you need to know to mine your data, and the specific mining capabilities present in SQL Server 2005.
Getting Started with Data Mining
Join this webcast for a comprehensive overview of data mining from a database development perspective. We begin with a discussion of the business value and uses of data mining, such as prediction and forecasting. Learn how to detect anomalies, and how to recognize scenarios for which Microsoft data mining technology is best suited. Using a typical business-driven approach to data mining, we show how to identify data mining opportunities, and cover the practical elements needed to make it work well, such as data preparation, model building, and validation. We then examine the output, consider different implementation methods, and conclude with recommendations on how to maintain your data mining solution.
Working with Data Mining in SQL Server 2005
Data mining is a fast-growing area of business analytics that involves using advanced statistical techniques to find patterns in large volumes of data. While Microsoft SQL Server 2000 included rudimentary data mining tools, Microsoft SQL Server 2005 provides tools and algorithms that are far more powerful, both for the developer and for client access. This webcast explains the concepts behind data mining, looks at example processes, and shows you how to incorporate data mining tools into your applications.
Applying SQL Server 2005 Data Mining to Enterprise Business Problems
Microsoft SQL Server 2005 offers a full spectrum of data mining capabilities. Still, knowing which tool or method best applies to your problem is not always obvious. This webcast shows you how to recognize the types of problems that you can solve with SQL Server 2005 Data Mining, including several examples of how various algorithms work, and solutions to practical scenarios.
Incorporating Data Mining into the Integration, Analysis and Reporting Components of Business Intelligence
Microsoft SQL Server 2005 Business Intelligence technologies enable the database administrator and developer to leverage their data assets like never before. This webcast examines how combining the Microsoft SQL Server 2005 Data Mining Platform with Microsoft SQL Server 2005 Integration Services, Microsoft SQL Server 2005 Analysis Services online analytical processing, and Microsoft SQL Server 2005 Reporting Services can change your data from something you manage into a new tool in your arsenal. See how to create self-cleaning data loaders, automatically organizing cubes, and smart reports that filter out data you do not want to see. This is not magic. This is the reality of SQL Server data mining.
Intelligent Applications: Embedding Data Mining in Your Application
Data Mining has long been a tool for extracting information from data for business analysts. This webcast shows how as a developer you can incorporate the predictive analytic power of Microsoft SQL Server 2005 directly into your Microsoft .NET Framework applications to create a new breed of "intelligent applications." Learn how to use simple interfaces such as AMO and ADOMD.NET to programmatically create, browse, and predict from Mining Models on your Analytical Server. More advanced APIs such as XML for Analysis allow you to access your models as a Web service from any platform.
Using the Microsoft SQL Server 2005 Data Mining Add-Ins for the 2007 Microsoft Office System (Vlab)
DIG for insight at your desktop in three simple steps: Define your data as table within Excel, Identify the task that addresses your business problem and Get intuitive and actionable results within the spreadsheet environment.
Test Drive Data Mining (Vlab)
Take a hands on approach to learning more about analysis services with this virtual lab.
Business Intelligence- Data Mining (Vlab)
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Business Intelligence Webcasts
Your business intelligence (BI) applications need to integrate seamlessly into your overall application infrastructure to deliver real competitive advantage. Through interactive presentations and end-to-end scenario demonstrations, this series provides you with the knowledge you need to develop and implement easy-to-manage, adaptive BI application architecture.
