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 warehouse data which is grouped to certain levels of dimensions.Retrieving the required data from the actual table, which have millions of records will take more time and also affects the server ...
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 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 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 ...
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... ...