Data Mining 67 Success Secrets - 67 Most Asked Questions On Data Mining - What You Need To Know

It tells you exactly how to deal with those questions, with tips that have never before been offered in print. Get the information you need--fast! This comprehensive guide offers a thorough view of key knowledge and detailed insight. This Guide introduces everything you want to know to be successful with Data Mining.

A quick look inside of the subjects covered: SQL Server Integration Services: Providing Meaning to Data to Improve the Business Process, A Straightforward Definition of Business Intelligence, Knowledge Deployment , Objectives , SQL Server Analysis Services: Creating Intelligent Companies, Legal Case Management , What is Knowledge discovery in databases or (KDD)? , Disadvantages , What Is Business Intelligence: An Overview, What is Data Warehouse and Business Intelligence, What is data mining and why can it be a security risk? - Certified Information Security Manager, Metadata: A Different Metadata Format for Different Applications, Enterprise Data , Traditional data mining tools , How to Get MCITP: Business Intelligence Developer Certified, Add-On Services within the SQL Server, SQL Server 2000 Developer: Serving the Growing Need of Companies for Better Information Management, Uses of Metadata Repository , Data Mining offers different levels of analysis: , Data Gathering and Preparation , Visualizing Data Patterns , Examples of threats to access control - Certified Information Systems Auditor, Data Mining Tools , VMware ESX 3: The Complete Hypervisor of the Virtual Environment, Questions , Other Concepts , Requisites for the MCITP Business Intelligence Developer Exam, The Meaning of Data Management CDRL Configuration Management, Internet Companies , Online Analytical Processing , Typical Architecture of Data Warehouse , Critical VMware 64 bit extension for Supporting Multiple Platforms, Health Care Providers , Examples of recognized threats to access control - CISSP - Certified Information Systems Security Professional, Knowledge is within your Reach with SQL Server Books Online, Where Will Google Be Upon Web 3.0 Wikipedia Implementation?, Data Mining Process , Customer Loyalty , What Web Analytics Conference Offers?, Introduction , Design , Product Production , Storing Information Via Business Intelligence Data Warehousing, Business Intelligence Studio: A BI Developer s Best Companion, Questions , Insurance Companies , and much more...