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![]() Related Questions Answered by swetha on 2005-03-30 12:00:33: OLTP Current data Short database transactions Online update/insert/delete Normalization is promoted High volume transactions Transaction Latest Answer : olap->online analytical processing OLAP is a set of specifications which alows the client applications(reports)in retreiving the data from data ware houseoltp->olnline transactional processingOLTP databases are fully normalized and are designed ... Answered by Puneet on 2005-05-07 04:24:28: Data mining is a process of extracting hidden trends within a datawarehouse. For example an insurance dataware house can be used to mine data for the most high Latest Answer : Data Mining: Smpler way we can define as DWH(Data Warehouse)+ AI(Artificial Intellegence)used in DSS(Decision Supportive System) ... Tags : Data Mining Answered by on 2005-03-23 01:45:54: bitmap index Latest Answer : Space requirements for indexes in a warehouse are often significantly larger than the space needed to store the data, especially for the fact table and particularly if the indexes are B*trees.Hence, you may want to keep indexing on the fact table to a ... 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 ... Latest Answer : CUBE is used in DWH for representing multidimensional data logically. Using the cube, it is easy to carry out certain activity e.g. drill down / drill up, slice and dice, etc. which enables the business users to understand the trend of the business. ... Difference between Snow flake and Star Schema. What are situations where Snow flake Schema is better Difference between Snow flake and Star Schema. What are situations where Snow flake Schema is better than Star Schema to use and when the opposite is true? Latest Answer : Diff b.w OLTP and OLAP :------------------------OLTP Schema :* Normalized * More no.of trans* Less time for queries execution* More no.of users* Have Insert,delete and update trans. OLAP (DWH) Schema :* De Normalized * Less no.of trans* ... Tags : RDBMS - Latest Answer : meta data is stored in repository only not in dataware house .. but we r placing our repository in database in that way ur correct ,,but not directly stored in the dataware house plz check it mam ... Read Answers (5) | Asked by : Meenal Srivastava Tags : Metadata Latest Answer : E-R Modeling is a model for OLTP, optimized for Operational database, namely insert, update, delete data and stressing on data relational integrity.Dimensional Modeling is a model for OLAP, optimized for retrieving data because it's uncommon to update ... Read Answers (7) | Asked by : Srinu Latest Answer : Junk Dimension also called as garbage dimension. A garbage dimension is a dimension that consists of low-cardinality columns such as codes, indicators, status,and flags. The garbage dimension is also referred to as a junk dimension. Attributes in a garbage ... Read Answers (7) | Asked by : ganesh
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