Fact-less fact table in a data warehouse contains
only dimensions
In a star schema, an ordinary fact table holds foreign keys to the dimension tables together with numeric measures (facts) such as quantity or sales amount.
A factless fact table has no measures at all; it holds only the references to dimensions, recording that an event happened (for example a student attending a class on a date) or that a coverage relationship exists.
So it cannot contain only measures, keys and measures, or measures and surrogate keys, because it has no measures at all; what it captures is purely a combination of dimensions.
Hence, the answer is only dimensions.
__________ allows selection of the relevant information necessary for the data warehouse.
__________ system is market oriented and is used for data analysis by knowledge workers including Managers, Executives and Analysts.
A data cube C, has n dimensions, and each dimension has exactly p distinct values in the base cuboid. Assume that there are no concept hierarchies associated with the dimensions. What is the maximum number of cells possible in the data cube, C ?
Match the following :
| List - I | List - II |
| a. Classification | i. Principal component analysis |
| b. Clustering | ii. Branch and Bound |
| c. Feature Extraction | iii. K-nearest neighbour |
| d. Feature Selection | iv. K-means |
Codes :
Which of the following table contains the primary information in the data warehouse?
Which of the following is characteristic of an MIS ?
An enormous collection of data on various topics from a variety of internal and external sources, compiled by a firm for its own use or for use by its clients, is called :
Given below are two statements: one is labelled as Assertion A and the other is labelled as Reason R
Assertion A: OLAP systems are optimized for complex queries and analysis.
Reason R: OLTP systems are designed for transactions processing with large read-only queries.
In the light of the above statements, choose the most appropriate answer from the options given below