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 : Data warehouse is Subject oriented,Integrated Non volatile, Time variant collection of data. unlike transactional systems. Its a Denormalized huge database.Used for Querying and Reporting Analytics. ...
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 : The ER Diagrams is the initial process to analaysis a database application, and understands the problems related or causes in future with the choosed database application, in this satge different components are watched and studied by the dba's and a diagramatical ...
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 ...
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 : 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 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 : Dimension table contains reference data which gives meaning to fact data. You can also view them as parameters across which you want to analyze the fact data. ...
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 ...