Question

The divide & conquer cube partitioning approach helps alleviate the
limitations of MOLAP implementation.
Select one.
A Security
B. Flexibility
C. Maintainability
D. Scalability​

Answer 1

Answer:

A Security

Explanation:

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Answer 2

Answer:

Option D - Scalability is the correct option.

Explanation:

• MOLAP: Multidimensional online analytical processing (MOLAP) is an acronym for multidimensional online analytical processing. It is a form of OLAP method that makes use of a multidimensional data model to facilitate data analysis. In MOLAP, data is pre-computed, pre-summarized, and saved. MOLAP may hold many permutations and combinations of data that have already been placed in a multidimensional array. This implies that it processes data that has already been stored in the multidimensional array.
• Scalability: The purpose of scalable data warehousing is to expand a company's data warehouse quickly and affordably, increasing total solution ROI. Because enterprise technology is not inexpensive in today's market, scalability is extremely vital.

Limitations of MOLAP:

• MOLAP has several drawbacks, one of which is that it is less scalable than ROLAP because it only manages a small amount of data.
• Because MOLAP is resourced expensive, it also introduces data redundancy.
• MOLAP solutions can be time-consuming, especially when dealing with big data sets.
• When there are more than 10 dimensions, MOLAP products may have problems updating and querying models.
• MOLAP is incapable of storing extensive information.
• If the data set is dispersed, storage utilisation may be poor.
• Because it can only handle a certain quantity of data, it's impossible to store a big amount of data in the cube.

Hence, Scalability is a benefit of the divide and conquer cube partitioning strategy, which helps to overcome the restrictions of MOLAP implementation.

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