Computing a 5-D Cube with Two Shell Fragments

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10 Questions

What is the primary advantage of sorting, hashing, and grouping tuples in OLAP aggregation?

Facilitating the computation process by aggregating similar dimension values

Which optimization technique is most effective when there exist multiple child cuboids?

Aggregating from the smallest child cuboid

What is the primary purpose of relational OLAP (ROLAP) in data storage?

To store data in relational tables

What is the advantage of computing higher-level aggregates from previously computed lower-level aggregates?

Efficiently computing higher-level aggregates

What is the primary purpose of multidimensional OLAP (MOLAP) in data storage?

To store data in a multidimensional array

What is the primary advantage of simultaneous aggregation and caching of intermediate results?

Efficiently computing higher-level aggregates

What is the primary purpose of sorting tuples in OLAP aggregation?

To facilitate the computation process by aggregating similar dimension values

What is the primary advantage of aggregating from the smallest child cuboid when there exist multiple child cuboids?

Computing higher-level aggregates more efficiently

What is the primary purpose of aggregation in OLAP?

To compute higher-level aggregates from lower-level aggregates

What is the primary advantage of using multidimensional arrays in MOLAP?

Facilitating fast querying and retrieval of data

This quiz is about building a 5-D cube by dividing a table into two shell fragments and computing the aggregation function using a count. It involves creating traditional invert index or RID list and understanding attribute values and their corresponding TID lists. The quiz is a great test of your skills in data aggregation and cube computation.

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