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Basic Concepts of Entity-Relationship Model — Transcript

by Neso Academy · 1,322 words · 250 segments · language en · Watch on YouTube

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  1. 0:03[Music]
  2. 0:06hello everyone
  3. 0:07and welcome to the course of dbms in
  4. 0:10this video
  5. 0:11we're going to look into the basic
  6. 0:12concepts of entity relationship
  7. 0:15model or otherwise called the er model
  8. 0:19so basically in this video we will be
  9. 0:20looking into few important terminologies
  10. 0:23in relation to the er model the entity
  11. 0:26relationship
  12. 0:27model or the er model describes data
  13. 0:30as entities attributes and relationships
  14. 0:34in this video we will be mainly focusing
  15. 0:36on entities and attributes
  16. 0:38and in the later videos we will be
  17. 0:40looking into the concept of
  18. 0:42relationships now what is an entity
  19. 0:45it is a thing in the real world with an
  20. 0:48independent
  21. 0:49existence that is it is a thing or an
  22. 0:51object that has its own identity or that
  23. 0:54can be
  24. 0:55identified easily an entity may be an
  25. 0:58object with physical existence like for
  26. 1:01example
  27. 1:02a house person an employee
  28. 1:05etc or it can be objects with a
  29. 1:07conceptual
  30. 1:08existence like for example course
  31. 1:11job etc so this is what an entity is
  32. 1:15next let us see what attributes are
  33. 1:18attributes
  34. 1:19are properties that describe the
  35. 1:22entities
  36. 1:23for example if i have an entity person
  37. 1:26the properties that would describe
  38. 1:27this particular entity would be name age
  39. 1:31address phone number etc so these are
  40. 1:35called as
  41. 1:35attributes of this entity in our further
  42. 1:38videos
  43. 1:39we will learn about each of the symbols
  44. 1:41that we have used here
  45. 1:42and also all the other symbols that we
  46. 1:44use in the er diagram
  47. 1:46now let's look into the several types of
  48. 1:48attributes in the er model with examples
  49. 1:52first let us see what composite
  50. 1:53attributes and simple attributes are
  51. 1:56composite attributes are attributes that
  52. 1:58can be divided into further parts
  53. 2:01whereas simple attributes are attributes
  54. 2:03that cannot be divided further
  55. 2:06an example of a composite attribute is
  56. 2:08name
  57. 2:09this attribute can be divided into
  58. 2:11further parts first name
  59. 2:13middle name and last name an example of
  60. 2:16a simple
  61. 2:16attribute is weight this attribute
  62. 2:19cannot be further divided
  63. 2:21other examples could be salary a
  64. 2:23person's age
  65. 2:24etc so this is about composite and
  66. 2:27simple attributes
  67. 2:29next we have the single valued
  68. 2:31attributes and multi-valued attributes
  69. 2:34single valued attributes are attributes
  70. 2:36that have a single value
  71. 2:38or just one value for a particular
  72. 2:40entity
  73. 2:41whereas multi-valued attributes are
  74. 2:43attributes that can have
  75. 2:45a set of values for a particular entity
  76. 2:48an example for a single valued attribute
  77. 2:50is age
  78. 2:52a particular person can have only a
  79. 2:54single value for this
  80. 2:55particular attribute so age is a single
  81. 2:59valued attribute of a person
  82. 3:01examples of multi-valued attributes are
  83. 3:04college degree
  84. 3:05languages known etc a particular person
  85. 3:09can have more than one college degree
  86. 3:11and can also know more than one language
  87. 3:14since these attributes can have a set of
  88. 3:16values for a particular entity
  89. 3:18it is called as a multi-valued attribute
  90. 3:20of a person
  91. 3:22so these are about single valued
  92. 3:24attributes and multi-value attributes
  93. 3:26next let us see what derived attributes
  94. 3:29and stored attributes are
  95. 3:31derived attributes are attributes that
  96. 3:33can be derived from
  97. 3:35other attributes whereas stored
  98. 3:37attributes
  99. 3:38are attributes from which the value of
  100. 3:41other attributes
  101. 3:42are derived an example of a derived
  102. 3:44attribute
  103. 3:45is age since age can be derived from
  104. 3:48date of birth this is called a derived
  105. 3:51attribute
  106. 3:52whereas date of birth or birth date of a
  107. 3:54person
  108. 3:55is a stored attribute because from this
  109. 3:58attribute
  110. 3:59we can derive age of a person so this is
  111. 4:01a stored attribute from which the value
  112. 4:04of
  113. 4:04other attributes are derived next let us
  114. 4:07see what are complex
  115. 4:09attributes a complex attribute has
  116. 4:12multi-valued and composite components in
  117. 4:15it
  118. 4:15we have already seen earlier in this
  119. 4:17video what multi-valued and composite
  120. 4:19attributes are
  121. 4:20so a complex attribute has both
  122. 4:22multivalued and composite components
  123. 4:25here in the complex attribute a
  124. 4:27multi-valued attribute is represented
  125. 4:29within curly brackets
  126. 4:31and composite attributes are represented
  127. 4:34within round brackets or paranthesis
  128. 4:37this is an example of a complex
  129. 4:38attribute here college degrees
  130. 4:41which is represented within curly
  131. 4:43brackets is a multi-valued attribute
  132. 4:45because one person can have more than
  133. 4:47one
  134. 4:48degree and within the parenthesis is the
  135. 4:50composite attribute
  136. 4:52so this is about complex attributes next
  137. 4:54we're going to learn about
  138. 4:56null values null is something which is
  139. 4:59not
  140. 4:59applicable or unknown so when does null
  141. 5:03value mean not applicable in some cases
  142. 5:06an entity might not have an
  143. 5:07applicable value for an attribute like
  144. 5:10for example if i have an
  145. 5:12attribute college degree this attribute
  146. 5:15applies only to persons with a college
  147. 5:17degree
  148. 5:18or if i have an attribute say the
  149. 5:19landline number this attribute again
  150. 5:22applies only to persons who has a
  151. 5:23landline
  152. 5:24so a person who has no college degree
  153. 5:26will have null
  154. 5:27for the attribute college degree and a
  155. 5:29person who has no landline phone
  156. 5:32will have null for the attribute
  157. 5:34landline number
  158. 5:35so in this particular case the meaning
  159. 5:37of null is not
  160. 5:38applicable null can also be used when we
  161. 5:41don't know the value of an attribute
  162. 5:44like for example if we don't know the
  163. 5:46phone number of a particular entity here
  164. 5:48say jeremy then that particular value of
  165. 5:50the attribute would be
  166. 5:52null so in this case the meaning of null
  167. 5:54is unknown
  168. 5:55the unknown category of null can be
  169. 5:58further classified into two cases
  170. 6:00the first case is when the value exists
  171. 6:03but it is missing
  172. 6:04like for example the age of joshua
  173. 6:07exists but it is missing so that value
  174. 6:10would be null
  175. 6:11the second case is when it is not known
  176. 6:13if the value
  177. 6:14exists or not like for example if you
  178. 6:18don't know whether the student jeremy
  179. 6:19has a phone number or not
  180. 6:21in that case the value of the attribute
  181. 6:23phone number would be null
  182. 6:25hope you understood what null values are
  183. 6:27the next terminology that we are going
  184. 6:29to learn
  185. 6:29is entity type what is entity type
  186. 6:33it is a collection of entities that have
  187. 6:35the same
  188. 6:36attributes example of an entity type is
  189. 6:39student
  190. 6:40so here each record in this table is an
  191. 6:43entity
  192. 6:44we have harry jeremy and joshua as the
  193. 6:47entities
  194. 6:48these entities share the same attribute
  195. 6:50that is
  196. 6:51age and they belong to the entity type
  197. 6:53student
  198. 6:54so an entity type is a collection of
  199. 6:57entities that have the same
  200. 6:58attributes now what is an entity set
  201. 7:02it is a collection of entities of a
  202. 7:04particular entity type at a point in
  203. 7:06time
  204. 7:07if i say i need students whose age is
  205. 7:10between 19 and 23
  206. 7:12so at that particular point in time all
  207. 7:14the students with age between 19 and 23
  208. 7:17is an entity set next let us see what a
  209. 7:20key attribute
  210. 7:21is a key attribute of a particular
  211. 7:24entity type
  212. 7:25is that attribute that is capable of
  213. 7:28identifying each
  214. 7:29entity uniquely for example role number
  215. 7:32of a student
  216. 7:34now in this table with entity type
  217. 7:36student i have two
  218. 7:37students with the same name and also the
  219. 7:40same
  220. 7:40age if i have to identify this
  221. 7:43particular student uniquely
  222. 7:45i can identify her by her student id or
  223. 7:48role number
  224. 7:49because no two students can share the
  225. 7:51same role number in a particular class
  226. 7:53so the attribute role number or student
  227. 7:56id is a key attribute
  228. 7:58to identify a student uniquely next what
  229. 8:01is
  230. 8:01value set of attributes value set of
  231. 8:04attributes is a set of values that can
  232. 8:06be assigned to a particular attribute
  233. 8:09for example if the range allowed for the
  234. 8:11age of an
  235. 8:12employee is between 22 and 60 then we
  236. 8:15can specify the value set
  237. 8:17of the age attribute of an employee as a
  238. 8:19set of integer numbers between
  239. 8:2122 and 60. so that is called as a value
  240. 8:24set
  241. 8:25so these are the few important
  242. 8:26terminologies that we need to know in
  243. 8:28relation to the er model
  244. 8:30with this we come to the end of this
  245. 8:32video hope you have understood the
  246. 8:34definition of each of these
  247. 8:35terminologies
  248. 8:36thank you
  249. 8:40[Music]
  250. 8:48you

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