er diagram, Data Structure & Algorithms

Assignment Help:
Ask queConsider the following functional dependencies:
Applicant_ID -> Applicant_Name
Applicant_ID -> Applicant_Address
Position_ID -> Positoin_Title
Position_ID -> Date_Position_Opens
Position_ID -> Department
Applicant_ID + Position_ID -> Date_Applied
Applicant_ID + Position_ID + Date_Interviewed ->

a. Represent these attributes with 3NF relations. Provide meaningful relation names.

b. Represent these attributes using an E-R diagram. Provide meaningful entity names.


Related Discussions:- er diagram

Explain the term - branching, Explain the term - Branching There are t...

Explain the term - Branching There are two common ways of branching: case of ..... otherwise ...... endcase  if ..... then ..... else ..... endif   case of

What is binary search, What is binary search?   Binary search is most ...

What is binary search?   Binary search is most useful when list is sorted. In binary search, element present in middle of the list is determined. If key (the number to search)

State about the simple types - built-in types, State about the Simple types...

State about the Simple types - Built-In Types Values of the carrier set are atomic, that is, they can't be divided into parts. Common illustrations of simple types are inte

Single pointer pointing to the tail of the queue, Can a Queue be shown by c...

Can a Queue be shown by circular linked list with only single pointer pointing to the tail of the queue? Yes a Queue can be shown by a circular linked list with only single p

Binary search, Explain binary search with an example

Explain binary search with an example

Algorithm to delete node from binary search tree, Normal 0 fals...

Normal 0 false false false EN-IN X-NONE X-NONE MicrosoftInternetExplorer4

Explain graph traversal, Graph Traversal In many problems we wish to in...

Graph Traversal In many problems we wish to investigate all the vertices in a graph in some systematic order. In graph we often do not have any single vertex singled out as spe

The complexity ladder, The complexity Ladder: T(n) = O(1). It is ca...

The complexity Ladder: T(n) = O(1). It is called constant growth. T(n) does not raise at all as a function of n, it is a constant. For illustration, array access has this c

Linked list, write an algorithm for multiplication of two sparse matrices u...

write an algorithm for multiplication of two sparse matrices using Linked Lists

Life science, Define neotaxonomy. Discuss how electron microscopy can help ...

Define neotaxonomy. Discuss how electron microscopy can help in solving a zoological problem faced by taxonomist.

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd