![]() |
| Home | Tech FAQ | Interview Questions | Placement Papers | Tech Articles | Learn | Freelance Projects | Online Testing | Geeks Talk | Job Postings | Knowledge Base | Site Search | Add/Ask Question |
![]() Related Questions Data Warehouse is a repository of integrated information, available for queries and analysis. Data and information are extracted from heterogeneous sources as they are generated....This makes it much Latest Answer : As explained by users , i think DWH is repository containing subject-oriented , integrated , nonovalatile and time varient data which helps the management to analysis the business trends and take the appropriate decision to improve the business.It is ... 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 : A data warehouse design that enhances the performance of multidimensional queries on traditional relational databases. One fact table is surrounded by a series of related tables. Data is joined from one of the points to the center, providing a so-called ... 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 : The data in the dimension tables may change over a period of time. Depending upon how you want to treat the historical data in dimension tables, there are three different ways of loading the (slowly) varying dimensions:1. Type One Dimension: do ... 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 ... 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 : Fact table is the one which contains measures of interest at most granular level.These values are numeric.Ex:sales amount would be a measure .Each dimension table has a single-part primary which exactly corresponds to one of the components of multiparty ... Answer posted by Riaz Ahmad on 2005-06-09 14:45:26: A dimensional table is a collection of hierarchies and categories along which the user can drill down and drill up. it contains only the textual attributes. Latest Answer : A dimensional table contains detail values/data which is short and wide(ie; less coloums and more rows) Always based on dimensions analysis is done in Datawarehousing. ... 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 : Normalization:It is the process of efficiently organizing data in a database.There are 2-goals of the normalization process: 1. Eliminate redundant data 2. Ensure data dependencies make sense(only storing related data in a table)First Normal ... Answered by Satish on 2005-04-29 08:20:29: The Aggreation or calculated value colums will go to Fac Tablw and details information will go to diamensional table. Latest Answer : Before broken into coloumns is going to the factAfter broken going to dimensions ... 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. ...
Sponsored Links
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||