Prerequisite:   This course assumes knowledge of data warehouse and BI terminology and concepts.

 

One-day Course

You Will Learn

• How to establish data mining as an integral component of the DW effort and BI solutions
• Why and when to implement data mining applications
• How to recognize data mining opportunities
• Technology/techniques that must be considered for effective data mining
• Through extensive lab exercises, you will gain hands-on experience with leading data mining tools, including:
• PolyVista (Text Mining)
• Microsoft SQL Server 2005 Data Mining
• Teradata Warehouse Miner
• SAS Enterprise Miner

Geared To:

• Project managers; project sponsors; data architects; and anyone who wants to understand (1) how data mining advances BI, (2) how to make mining a natural part of the warehouse effort, and (3) how to recognize a mining opportunity in your organization

Hands-On Data Mining is committed to providing non-biased information on best-of-class technologies and techniques as well as exposing participants to leading data mining tools, their use, and their application, including SAS Enterprise Miner, PolyVista Text Miner, IBM OLAP Miner, Teradata Warehouse Miner, and Microsoft Analytics.

The course encompasses a mix of lecture and formal lab exercises. The lecture components include an overview of data mining, the fundamental uses of the technology, and how to effectively blend that technology into your overall BI environment.

Formal lab exercises are conducted between lecture components in order to provide participants an opportunity to experience the fundamental features of leading data mining tools. Lab exercises are conducted for a minimum of three distinct mining tools. These labs are designed to allow participants to compare how each tool generally functions, its best features, and how well it integrates with your warehouse and BI solution.