normalization-1nf-to-3nf-with-same-example.ppt
- 1. 1st, 2nd, and 3rd Normal Forms By Carlos Alvarado San Jose State University
- 2. Overview Today we’ll talk about: Database Normalization Data Anomalies Caused by: Update, Insertion, Deletion Brief History/Overview 1st Normal Form 2nd Normal Form 3rd Normal Form Conclusion
- 3. Database Normalization The main goal of Database Normalization is to restructure the logical data model of a database to: Eliminate redundancy Organize data efficiently Reduce the potential for data anomalies.
- 4. Data Anomalies Data anomalies are inconsistencies in the data stored in a database as a result of an operation such as update, insertion, and/or deletion. Such inconsistencies may arise when have a particular record stored in multiple locations and not all of the copies are updated. We can prevent such anomalies by implementing 7 different level of normalization called Normal Forms (NF) We’ll only look at the first three.
- 5. Brief History/Overview Database Normalization was first proposed by Edgar F. Codd. Codd defined the first three Normal Forms, which we’ll look into, of the 7 known Normal Forms. In order to do normalization we must know what the requirements are for each of the three Normal Forms that we’ll go over. One of the key requirements to remember is that Normal Forms are progressive. That is, in order to have 3rd NF we must have 2nd NF and in order to have 2nd NF we must have 1st NF.
- 6. 1st Normal Form The Requirements The requirements to satisfy the 1st NF: Each table has a primary key: minimal set of attributes which can uniquely identify a record The values in each column of a table are atomic (No multi-value attributes allowed). There are no repeating groups: two columns do not store similar information in the same table.
- 7. 1st Normal Form Example Un-normalized Students table: Normalized Students table: Student# AdvID AdvName AdvRoom Class1 Class2 123 123A James 555 102-8 104-9 124 123B Smith 467 209-0 102-8 Student# AdvID AdvName AdvRoom Class# 123 123A James 555 102-8 123 123A James 555 104-9 124 123B Smith 467 209-0 124 123B Smith 467 102-8
- 8. 2nd Normal Form The Requirements The requirements to satisfy the 2nd NF: All requirements for 1st NF must be met. Redundant data across multiple rows of a table must be moved to a separate table. The resulting tables must be related to each other by use of foreign key.
- 9. 2nd Normal Form Example Students table Registration table Student# AdvID AdvName AdvRoom 123 123A James 555 124 123B Smith 467 Student# Class# 123 102-8 123 104-9 124 209-0 124 102-8
- 10. 3rd Normal Form The Requirements The requirements to satisfy the 3rd NF: All requirements for 2nd NF must be met. Eliminate fields that do not depend on the primary key; That is, any field that is dependent not only on the primary key but also on another field must be moved to another table.
- 11. 3rd Normal Form Example Students table: Student table: Advisor table: Student# AdvID AdvName AdvRoom 123 123A James 555 124 123B Smith 467 Student# AdvID 123 123A 124 123B AdvID AdvName AdvRoom 123A James 555 123B Smith 467
- 12. 3rd Normal Form Example Cont. Students table: Registration table: Advisor table: Student# Class# 123 102-8 123 104-9 124 209-0 124 102-8 AdvID AdvName AdvRoom 123A James 555 123B Smith 467 Student# AdvID 123 123A 124 123B
- 13. Conclusion We have seen how Database Normalization can decrease redundancy, increase efficiency and reduce anomalies by implementing three of seven different levels of normalization called Normal Forms. The first three NF’s are usually sufficient for most small to medium size applications.
- 14. References Hillyer Mike, MySQL AB. An Introduction to Database Normalization, http://dev.mysql.com/tech-resources/articles/intro-to-normalization.html, accessed October 17, 2006. Microsoft. Description of the database normalization basics, http://support.microsoft.com/kb/283878 , accessed October 17, 2006. Wikipedia. Database Normalization. http://en.wikipedia.org/wiki/Database_normalization.html , accessed October 17, 2006.