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Normalization: Eliminating Redundancy and Ensuring Data Dependencies in Databases, Slides of Data Warehousing

University of AllahabadData Warehousing

Normalization is the process of organizing data in a database efficiently by decomposing a relational table into smaller tables through projection. The primary goals of normalization are eliminating redundant data and ensuring data dependencies make sense. the concept of normalization, its importance, and the issues caused by redundancy, known as update anomalies.

Typology: Slides

2019/2020

Uploaded on 08/29/2020

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Normalization

What is Normalization?

  • (^) Normalization is the process of efficiently organizing data in a database by decomposing (splitting) a relational table into smaller tables by projection.
  • (^) There are basically two goals of normalization as follows:
    • (^) Eliminate redundant data.
    • (^) Ensure data dependencies make sense.
      • only storing related data in a table.

It contains atomic values, there are no repeating values, there is no aggregation, yet it contains redundant data. Redundancy causes what are called update anomalies

Update Anomalies

  • (^) INSERT. Certain student with SID 5 got admission in a different campus (say) Karachi
  • (^) cannot be added until the student registers for a course.
  • (^) DELETE. If student graduates and his/her corresponding record is deleted, then all
  • (^) information about that student is lost.
  • (^) UPDATE. If student migrates from Islamabad campus to Lahore campus (say) SID = 1, then six rows would have to be updated with this new information.