![]() 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 : Difference between OLAP and OLTP Systems Time Scale OLTP: This stores current data OLAP: This stores History data for analysis Indexing OLTP: Optimizes update performance by minimizing the number of indexes OLAP: ... 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 : Datamining is nothing but a science of finding information from databases or datasets. ... Tags : Data Mining Answered by on 2005-03-23 01:45:54: bitmap index Latest Answer : Hash Index - If we know that the hashing will result in uniform distribution and doesn't create hotspots (spikes-chaining).Bitmap Index -
If the degree of cardinality is high for the attribute, means that there are more unique number of values for ... 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 : Metadata is the Information about the Data which is being stored in DWH , Why its imp : 1. To know the flow of source data into Data
Warehouse, 2. In case if you have many star schema or many subject areas, knowing that which Area will contain which ... Read Answers (6) | 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
Sponsored Links
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||