Data Warehouse 82 Success Secrets - 82 Most Asked Questions On Data Warehouse - What You Need To Know

Paula Erickson

Description

There has never been a Data Warehouse Guide like this. Data Warehouse 82 Success Secrets is not about the ins and outs of Data Warehouse. Instead, it answers the top 82 questions that we are asked and those we come across in our forums, consultancy and education programs.

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 Warehouse.

A quick look inside of the subjects covered: A Straightforward Definition of Business Intelligence, Product Production , Introduction data warehousing, Key Component , Storing Information Via Business Intelligence Data Warehousing, Minable Data , The Importance of Creating Metadata Registries, Enterprise Data , Insurance Companies , DW Applications - Retail Industry , What is ERP, Health Care Providers , Data Warehouse Architecture - Introduction , Importance of Data Modeling , Data mining consists of five major components: , Metadata Impact , Typical Architecture of Data Warehouse , Introduction data warehouse, Different Courses Offered by Siebel University, Benefits , Benefits of Having an ERP Enterprise, Understanding Business Intelligence Metadata Architecture, Advantages , Repositories vs. Registries , Master Data Management , Load , What Can the Center for Business Intelligence Do to Businesses, Prevent Server Problems with SQL Server Tool, Benefits of MDM , Webtrends , What is Data Warehouse and Business Intelligence, Benefits , Manufacturing & Distribution , Dimensional , Metadata: A Different Metadata Format for Different Applications, Knowledge Management Courses What is currently happening?, Alternative Storage , Data Store , Managing Metadata Location, What is Knowledge discovery in databases or (KDD)? , Data Warehouse Information Flow , MDM Myths , What s In Store For You In a Business Intelligence Course, Data Mart , Disadvantages , History , What Is Metadata and Its Types?, Design Schemas , Data Warehouse Metadata and Its Benefits, Future of Data Warehouse - Introduction , Noteworthy Tips for Business Intelligence Analysis, Classifications of Information , The Importance of Enterprise Business Intelligence, Requisites for the MCITP Business Intelligence Developer Exam, XMI Metadata Interchange , Introduction Data mining Software, Introduction data warehouses , Data Warehouse Lifecycle , Dormant data is data that is seldom or never used. , Bank , Reasons , Traditional data mining tools , Osiris Serverless Portal System , and much more...

Sujets

• Gestion et management

Informations

• Publié par: Emereo Publishing
• Date de parution: 24 juillet 2013
• Nombre de lectures: 0
• EAN13: 9781488521041
• Langue: English
• Poids de l'ouvrage: 1 Mo

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