What is a data dictionary, what does it contain, and how is it used?
What is data dictionary?
It is a file or set of files or a collection of descriptions of data objects often called as metadata repository. It is a repository of information about data such as meaning, relationship, usage ,format and so on.
What does it contains?
1) It contains metadata of database. It stores specific facts about system like, processes, entities ,data flow and data stored.
2) It contains records about other objects in the database.
3) It contains data ownership, data relationship with other objects .
4) In relational database , it includes names of the tables and their owners, names of the indexes and columns , primary and foreign key relationship to other tables.
5) The source of data for each database field
6) An explanation of what each database filled means
7) Existence of default value for all fields of the organization
8) Who can access to each field
9) What tables each filed exists in and the size of all fields
10) Type of data, ( image, integer, real etc)
How it is used?
Data dictionary can be easily used by SQL server to execute queries. It helps and provide automatic updates of objects which are added, removed or changed. Without data dictionary, we have to use object explorer and open each and every table which will lead wastage of time for searching and finding.
What is a data dictionary, what does it contain, and how is it used?
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Description A dictionary is a collection of words that contain at least one definition. One way to represent a dictionary is through the use of an array, actually two arrays. For a dictionary to print the term with matching definition, each array: Must contain the same number of elements as the other array Each element in array 1 (term) must contain a match in array 2 (definition). 1. 2. Take the following array examples: Array 1=...
You are to examine data elements in a data dictionary. Explain how you would create a data dictionary. You can select a specific data element and apply it to the data dictionary.
In general, how useful is the Dictionary/Hash Table data structure? Can you think of other uses aside from those? If we didn’t have the Dictionary/Hash Table data structure can you think of another way to implement the dictionary concept? Can the Dictionary/Hash Table ADT accept/handle null key entries? What about null values? Why or why not? Given these behaviors, what conclusions can you draw about tuning a hash table for different data sets?
Create a DFD diagram 0, and Data dictionary for the information system at a typical library. Create a solution as realistic as possible. Data dictionary should contain information about all data elements. In your solution include at least: - 10 processes, - 3 data stores, - 3 external entity instructions: don't use any online diagram or copy paste from internet. Do your own
Real-World Case 3 Janice has been given the responsibility of creating and managing the data dictionary for the laboratory IS that is being implemented. There are a number of existing ISs that have their own data dictionaries. The data from the laboratory IS will be part of a clinical data repository. She decided that she needs to start from scratch to make the data dictionary the best it can be. She is reviewing the data dictionaries from the other ISs...
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13inary Search Tree Using a binary search tree, you are tasked with building a dictionary program which you can store a word with its definition. Each node of the tree will contain the word and definition. The word is what will be used as the key to sort our data. The dictionary should allow you to search for a word. If the word exist then the definition will display. You can also add words to the dictionary. For testing you...
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