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Data Cube Computation and Query Optimization

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Data Cube Computation and Query Optimization

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Questions and Answers

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

To enable efficient computation of cuboid cells (correct)

To construct spatial data cubes

To enable ranking of data cubes

To reduce the memory usage of the original database

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

SUM()

AVERAGE()

MAX()

COUNT() (correct)

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

Reducing memory usage of the original database

Enabling ranking of data cubes

Efficient computation of cuboid cells (correct)

Constructing spatial data cubes

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

Frag-Shells Signup and view all the answers

What is the purpose of the Frag-Shells algorithm?

To enable efficient computation of cuboid cells Signup and view all the answers

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 Signup and view all the answers

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

Enabling efficient computation of cuboid cells Signup and view all the answers

What is the purpose of the inverted index table?

To retain all the original database’s information Signup and view all the answers

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 Signup and view all the answers

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

Computing data cubes Signup and view all the answers