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What is meany by survey and extraction tables in DW?

  
Total Answers and Comments: 0 Last Update: July 18, 2006     Asked by: stalin 
  
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Answer posted by Chintan on 2005-05-22 18:34:55: A relational database schema organized around a central table (fact table) joined to a few smaller tables (dimension tables) using foreign key references. 
Latest Answer : Star schema is a simplest form of data warehouse schema., consists of fact tables (possibly one) and referenced by number of dimension tables.  The appearance is like (an centralized fact and surrounded by number of dimensions) a star and hence got the ...
Answered by Girinath.S.V.S on 2005-03-17 06:40:48: Snowflake schemas normalize dimensions to eliminate redundancy. That is, the dimension data has been grouped into multiple tables instead of one large 
Latest Answer : Closely related to the star schema, the snowflake schema is represented by centralized fact tables which are connected to multiple dimensionsIn the snowflake schema, however, dimensions are normalized into multiple related tables whereas the star schema's ...
Latest Answer : Following are the loading strategies to load data in dimensional table. 1. Full data refresh. Delete the existing data in the table and then update all the data with new data. 2. Incremental data refresh (By handling the duplicates) a. Constructive ...
Latest Answer : Aggregate table contains the summary of existing warhouse data , it contains data which is group accordingly (month , quartely etc) depending upon the business needs.For example you may contain transaction in fact table for all the customers but sometime ...
Answered by sunitha on 2005-04-28 21:17:53: ETL is extraction,trasformation and loading,ETL technology is used for extraction the information from the source database and loading it to the target database 
Latest Answer : ETL is a process that extracts data from one database, transforms it as per the destination database and loads it into another database. In the transformation process, data is actually standardized to make it compatible with the destination database. ...
Answer posted by Chintan on 2005-05-22 18:46:03: A table in a data warehouse whose entries describe data in a fact table. Dimension tables contain the data from which dimensions are created. 
Latest Answer : A fact table in a data warehouse is one which contains the numeric data, can be further distributed as 'Additive Facts' and 'Non-Additive Facts'.Additive facts can be the sum of salaries.Non-Additive facts can be something ...
Answer posted by Badri Santhosh on 2005-05-18 09:40:29: Normalization : The process of decomposing tables to eliminate data redundancy is called Normalization.  1N.F:- The table should caontain 
Latest Answer : To paraphrase the oath, and help you remember, in 3rd normal form data in the table depends on the key, the whole key, and nothing but the key. ...
Latest Answer : Find where data for this dimension are located.  Figure out how to extract this data.  Determine how to maintain changes to this dimension (see more on this in the next section).  Change fact table and DW population routines. ...
What are Semi-additive and factless facts and in which scenario will you use such kinds of fact tables
Answered by sudhakar on 2005-05-09 18:32:18: star schema uses denormalized dimension tables,but in case of snowflake schema it uses normalized dimensions to avoid redundancy...  
Latest Answer : star schema uses denormalized dimension tables,but in case of snowflake schema it uses normalized dimensions to avoid redundancy... ...

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