3. Construct Data Dictionary for all tables identified in (1)

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A: Gaps in values generated by a sequence A sequence is an ordered list of numbers. In a sequence…

Q: Define Data Dictionary.

A: Define Data Dictionary ?  Data dictionary definitionA data dictionary is a collection of names,…

Q: Are there differences in the construction of catalogues and datadictionaries

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Q: How can a data dictionary help in streamlining the process of data transformation and mapping?

A: Data Transformation:Data transformation is the process of converting data from one format,…

Q: For what purposes does the Data Definition Language exist? Exactly how may I be of assistance to…

A: Explain how Data Definition Language works. Data definition languages (DDLs) construct and modify…

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Q: Which step uses the data dictionary?

A: According to the information given:- We have to define steps uses the data dictionary.

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A: The answer of this question is as follows.

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A: Explained the method of partitioning secondary index by the term

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A: The answer is given below step.

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A: The segmentation process in computer systems pertains to a memory management scheme that promotes…

Q: A data dictionary is what exactly? Please provide a brief explanation.

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Q: Let's define a data dictionary now, shall we? Explain.

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Q: In the process of deleting rows, columns, and tables, what is an important point to bear in mind is

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Q: What does the term "data abstraction" mean to you? How can you break down a dataset?

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Q: How might CASE tools be used to document the design of a data dictionary?

A: CASE stands for Software Aided System Engineering.

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A: Create a database of 10 students with firstname, lastname, studentID, gpa, grade are as follows:

Q: Explain the concept of a dictionary in programming and provide an example of its usage in Python.

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A: The solution is given below:

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Normalization

Normalization is the process of eliminating redundancy in a database by organizing the data into several smaller tables. The large tables are normalized (converted) into smaller tables by using normalization rules, so that a database administrator can easily handle them. It also eliminates insertion, deletion, and update anomalies.