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7Mar/1025

Logic Data Modeling 8 – Entity Relationship Diagram, part 1

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Lecture by Dr. Art Langer, author. Analysis & Design of Information Systems (3nd Ed), Langer, Springer-Verlag 2007 (ISBN978-1-844628-654-4)

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Comments (25) Trackbacks (0)
  1. Excellent. Very clear and precise example. Thank you!!

  2. Thanks for the video. It really helps when experts create and upload an educational video like this one. It really helps.

  3. nice vid. poor disp.

  4. Very good, although the video quality is so bad I cant see what he’s writing..

  5. nice, but poor lighting…

  6. Clear, concise and great examples. Thank you!

  7. awesome!!! thank you so much!! :)

  8. I liked the video but the quality is giving me a hard time :(

  9. This is an awesome lesson but the camera man needs to upgrade

  10. it would be nice if camera was focused on the board

  11. its a very helpful class………

  12. This explanation is simply awesome…….
    Really helpful….
    All of my doubts got clarified . . . .

  13. nice…

  14. Thanks xD .. i learned ERD from this tihing :D

  15. very very thks u make me pass in exams very very thks ur work is exilent but ur camera man need to improve this work

    thks once again

  16. this guy’s good. i wish he’d come out to my uni ;)

  17. Dr. Langer is awesome, he must be a wonderful instructor. I agree with NajanJan that the board writing is not clear, but I’m sure you guys are working with what you’ve got. Thanks for the great videos.

  18. When Dr. Langer refers to looking down on the entity, he’s using the metaphor of entities representing physical files as in a paper-base filing cabinet. When we deal with instances of actual records, we are then speaking of records within tables (tables are instantiated entities).

  19. To reiterate common data modeling parlance, One and only one Order has one or more Order Items. Likewise, One and only one Item has zero or many Order Items.

  20. Specific to this example, for every record in the Order table (entity), there must exist at least one corresponding recorder within the Order Items table (entity).

  21. Specific to this example, the Item table (entity) is allowed to have records that may or may not appear within the Order Items table (entity). As for one or many, the instance of a record within the parent table (entity) of a given relationship is inexorably tied to the existence of at least one matching record within the child table (entity).

  22. Regarding the difference between 0:n and 1:n. With zero or many, the instance of a record within the parent table (entity) of a given relationship is allowed to exist without being forced to have a corresponding instance of a record within the child table (entity).

  23. Dr. Langer is using a classic example of the order-items data model. In this case he explains the foundational concept of cardinality. The ERD allows you as a data architect to define the business rules regarding the various permutation of relationships that can exist among entities within the logical data model (remember that entities represent the equivalent of tables within the physical database schema).

  24. Could you explain what you meant when you said you cover your eyes and pull a record? Does that give you the minimum part of the relationship? could you also give me an example of a (0,n) relationship? thanks

  25. Could you tell the difference between (0,n) and (1,n) relationships?
    when we say a customer can have 0 or many orders we have (1,n) right? could you give me an example of (0,n)?
    Also, when you said you stand on top of that entity and pull up a record, does that have to do with the min number being 0 or 1?
    Could you explain that please?
    Thanks again for your great videos.


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