What is dimensional modelling? Why is it important?
- 1 Answers
- 396 Views
- I also Faced
- E-Mail Answers
Answer / Firatoo Prasad
Dimensional modeling is a method for organizing data in a multi-dimensional view, typically used in business intelligence and data warehousing. It involves structuring data into facts (measures) and dimensions (attributes). Dimensional modeling is essential because it allows for efficient and flexible querying, provides a consistent structure for reporting, and makes it easier to understand complex relationships within the data.
| Is This Answer Correct ? | 0 Yes | 0 No |
Define genetic algorithm?
What is rollup and cube?
Describe how dts is used to extract, transform and consolidate data?
Explain Statistical Procedure Based Approach?
What is Syntax for Task-Relevant Data Specification?
What are the benefits of user-defined functions?
What is classification?
What is unique index?
Explain what are the different problems that 'data mining” can solve?
What is the use of regression?
Name methods of classification methods?
Differentiate between data mining and data warehousing?
-
AI Algorithms (74) - AI Natural Language Processing (96)
- AI Knowledge Representation Reasoning (12)
- AI Robotics (183)
- AI Computer Vision (13)
- AI Neural Networks (66)
- AI Fuzzy Logic (31)
- AI Games (8)
- AI Languages (141)
- AI Tools (11)
- AI Machine Learning (659)
- Data Science (671)
- Data Mining (120)
- AI Deep Learning (111)
- Generative AI (153)
- AI Frameworks Libraries (197)
- AI Ethics Safety (100)
- AI Applications (427)
- AI General (197)
- AI AllOther (6)
