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Semantic Cardinality Estimation for Queries over Objects y FMH, MCG cs.brown.edu, iodine Marc.mot.com Keywords: Query optimization, cardinality estimation, cost models, query algebras Marian H. Iodine,

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What is semantic cardinality estimation for?

Semantic cardinality estimation is used to estimate the number of distinct values in a dataset or database column. It helps in analyzing and optimizing query performance, data indexing, and storage requirements.

Who is required to file semantic cardinality estimation for?

It is primarily required by database administrators, data analysts, and developers who are responsible for managing and optimizing database performance.

How to fill out semantic cardinality estimation for?

Semantic cardinality estimation is usually performed using statistical algorithms or database profiling tools. These tools analyze the data distribution and provide the estimated cardinality values.

What is the purpose of semantic cardinality estimation for?

The purpose of semantic cardinality estimation is to understand the data distribution and predict the number of distinct values in a dataset. It helps in query optimization, index creation, and efficient data storage.

What information must be reported on semantic cardinality estimation for?

Semantic cardinality estimation reports typically include the database or dataset name, column name, estimated cardinality, statistical measures used for estimation, and any relevant metadata about the data.

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