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Information Packages(IP) are advanced by some author as a way of building dimensional models - e.g. star schemas. Explain what IPs are and Give an example of it\'s use in building a dimensional model.

  
Total Answers and Comments: 0 Last Update: January 13, 2006     Asked by: Rokeya Begum 
  
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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 ...
Answered by Puneet on 2005-05-07 04:21:07: ER - Stands for entitity relationship diagrams. It is the first step in the design of data model which will later lead to a physical database design of possible 
Latest Answer : Entity Relationship Diagrams are a major data modelling tool and will help organize the data in your project into entities and define the relationships There are three basic elements in ER models: Entities are the "things" about which we seek ...
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 ...
Latest Answer : Dimensional modelling consist of 3 stages1.conceptual Requirementshere business architect should be clear with facts and levels (data for Dimension table)2.Logical requirementshere he has to design dimension table with levels, and c=fact table with facts ...
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 ...
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 : Data Acquisition technique is now called ETL(Extraction, Transformation and Loading)Extraction-The process of extracting the data from various sources. Sources can be file system, database, XML file, Cobol File, ERP etcTransformation-Transforming the ...
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. ...
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 ...
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... ...
Answer posted by Shri Dana on 2005-04-06 19:04:05: OLTP cannot store historical information about the organization. It is used for storing the details of daily transactions while a datawarehouse is a huge 
Latest Answer : OLTP databases are generally volatile in nature which are not suitable for datawarehouses which we use to store historic data ...

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