Data Cube Computation and Query Optimization

OrganizedRing8684 avatar
OrganizedRing8684
·
·
Download

Start Quiz

Study Flashcards

10 Questions

What is the primary purpose of partitioning the dimensions into a set of disjoint dimension fragments?

To enable efficient computation of cuboid cells

What is the measure used in the running example of the tiny database?

COUNT()

What is the primary usage of the inverted index representation in the shell fragment approach?

Efficient computation of cuboid cells

What is the name of the algorithm used to compute shell fragments of a data cube?

Frag-Shells

What is the purpose of the Frag-Shells algorithm?

To enable efficient computation of cuboid cells

What is the result of constructing the inverted index for the given database?

The resulting inverted index table uses the same amount of memory as the original database

What is the primary advantage of using the shell fragment approach?

Enabling efficient computation of cuboid cells

What is the purpose of the inverted index table?

To retain all the original database’s information

What is the relationship between the memory usage of the original database and the inverted index table?

The inverted index table uses the same amount of memory as the original database

What is the primary application of the Frag-Shells algorithm in data warehousing?

Computing data cubes

This quiz explores the concept of data cube computation using shell fragments, discussing the advantages of Frag-Shells over full cube computation and query optimization techniques. Learn how to optimize storage requirements and query response time for large data sets.

Make Your Own Quizzes and Flashcards

Convert your notes into interactive study material.

Get started for free

More Quizzes Like This

Use Quizgecko on...
Browser
Browser