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what is the difference between Datawarehouse and Datawarehousing

  
Total Answers and Comments: 2 Last Update: December 30, 2006     Asked by: shivaleela 
  
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September 29, 2006 08:26:38   #1  
opbang Member Since: March 2006   Contribution: 46    

RE: what is the difference between Datawarehouse and D...

Data warehousing encompasses a complete architecture and process, whereas Data warehouse is Data stored in Database in the form of Dimension, Fact Tables, Lookup Tables, Aggregated Fact tables.

Datawarehousing is not just having a single data warehouse . Data warehousing is the transformation of data to information, thereby enabling the business to examine its operations and performance. This task is accomplished by the staging and transformation of data from data sources, enabling the business to access and analyze information. The data stores may be persistent (stored on disk) or transient (using disk or memory). In addition, the workflow usually involves multiple data stores to support the staging and transformation of data into information such as operational data stores, data warehouses, data marts, online analytical processing cubes, files such as a flat file (comma-separated values extract, for example), XML data and even spreadsheets


 
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December 30, 2006 00:31:48   #2  
chandra        

RE: what is the difference between Datawarehouse and D...

dataware house is a container to  store the historical data

where as dataware hosuning is a process or technique  to analyze tha data in the ware house


 
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 Related Questions

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Difference between Snow flake and Star Schema. What are situations where Snow flake Schema is better than Star Schema to use and when the opposite is true?

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Tags : RDBMS

Latest Answer : meta data is stored in repository only not in dataware house .. but we r placing our repository in database in that way ur correct ,,but not directly stored in the dataware house plz check it mam ...
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Tags : Metadata

Latest Answer : E-R Modeling is a model for OLTP, optimized for Operational database, namely insert, update, delete data and stressing on data relational integrity.Dimensional Modeling is a model for OLAP, optimized for retrieving data because it's uncommon to update ...
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Latest Answer : Junk Dimension also called as garbage dimension. A garbage dimension is a dimension that consists of low-cardinality columns such as codes, indicators, status,and flags. The garbage dimension is also referred to as a junk dimension. Attributes in a garbage ...
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