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?

<p>Frag-Shells (A)</p> Signup and view all the answers

What is the purpose of the Frag-Shells algorithm?

<p>To enable efficient computation of cuboid cells (B)</p> Signup and view all the answers

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

<p>The resulting inverted index table uses the same amount of memory as the original database (D)</p> Signup and view all the answers

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

<p>Enabling efficient computation of cuboid cells (D)</p> Signup and view all the answers

What is the purpose of the inverted index table?

<p>To retain all the original database’s information (D)</p> Signup and view all the answers

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

<p>The inverted index table uses the same amount of memory as the original database (B)</p> Signup and view all the answers

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

<p>Computing data cubes (C)</p> Signup and view all the answers

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