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Friday,10th Sep, 2010
DATA
WAREHOUSING
   
 
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  CONSULTANT PROFILE PLACEMENTS @ CAMPUS ARTICLES HOT JOBS USEFUL LINKS  
     
  DATA WAREHOUSING@ducat  
 
• DATA WAREHOUSING CONCEPTS
Data Mart and Data Warehouse
OLTP v/s OLAP
Dimensional Modeling
• DATA WAREHOUSING DEVELOPMENT PROCESS
Software Development Process
Data Warehouse Development Process
• OVERVIEW OF DATAWAREHOUSING TOOLS
Importance of Tools
Data Modeling Tools
ETL & Metadata Creation Tools
And Report generation Tools
• INFORMATICA
• AB INTIO
• COGNOS
• BUSINESS OBJECTS

Training @ DUCAT
Learn Data warehousing and energize your career. Take up our specialized course that has evolved from our BI Implementation experience practice in an advanced Lab. choose from a number of course options that suit your individual requirements of duration, including a project course built around real life case studies.
Interested in learning about Data Warehousing? Attend Free Demo on Data Warehousing.

Attend Free Class on Data Warehousing Concepts on 7th June, 2008. For further details visit: http://ducatindia.com

Rapid Track starts 23rd May, 2008. For details visit: http://ducatindia.com/course
Career opportunities with DUCAT for fresh graduates. To know more visit: http://ducatindia.com
 
 
 
Advantage of the
COURSE
If a data exploration environment is to be useful it must fulfill the following criteria:



• complex questions can be asked with a simple SQL query

• different questions imply very similar SQL query structure

• very different questions require very similar processing time to answer

• exploration can be done from any computer anywhere



The goal is that a business expert can sit down at a Web browser, use a sequence of forms to specify a query, and get a result back in an amount of time that seems reasonable.



It will be impossible to achieve this with our standard OLTP data models. Answering a particular question may require JOINing in four or five extra tables, which could result in a 10,000-fold increase in processing time. Even if a novice user could be guided to specifying a 7-way JOIN from among 600 tables, that person would have no way of understanding or predicting query processing time. Finally there is the question of whether you want novices querying your OLTP tables. If they are only typing SELECTs they might not be doing too much long-term harm but the short-term processing load might result in a system that feels crippled.

It is time to study data warehousing.

 
 
     
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