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    Normalization to Database

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    NORMALIZATION OF DATABASE NORMALIZATION- is the process for evaluating and correcting table structures to minimize data redundancies‚ thereby‚ reducing the livelihood of data anomalies. The normalization process involves assigning attributes to tables based on the concept of determination. Normalization works through a series of stages called normal forms. 3 Stages of Normalization 1. 1NF or FIRST NORMALIZATION FORM 2. 2NF or SECOND NORMALIZATION FORM 3. 3NF or THIRED NORMALIZATION

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    Database Normalization

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    Normalization Normalization is a method for organizing data elements in a database into tables. Normalization Avoids • Duplication of Data – The same data is listed in multiple lines of the database • Insert Anomaly – A record about an entity cannot be inserted into the table without first inserting information about another entity – Cannot enter a customer without a sales order • Delete Anomaly – A record cannot be deleted without deleting a record about a related entity.

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    Database Normalization

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    Although‚ data is separated into different and more complex tables during normalization‚ the process of normalizing a database can help to organize data more efficiently by minimizing redundancy and providing more accurate records. During the process‚ column and field names are consolidated into more specific ones to avoid repetition of data. In many cases‚ tables are divided into two or more tables and linked via a relationship using their Primary Keys and/or Foreign Keys. The main goal is to

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    Database Normalization

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    Normalization A logical design method which minimizes data redundancy and reduces design flaws. Consists of applying various “normal” forms to the database design. The normal forms break down large tables into smaller subsets. First Normal Form (1NF) Each attribute must be atomic • No repeating columns within a row. • No multi-valued columns. 1NF simplifies attributes • Queries become easier.

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    August 4‚ 2009 What is Database Normalization? Database Normalization is a systematic way of ensuring that a database structure is suitable for general – purpose quering and normalization is the process of efficently organizing data in a database. This process was first introduced in 1970 by E.F. Codd and has since been redefined to higher normal forms. The two goals of the normalization process are: eliminating redundant data and ensuring that data dependencies make sense. These goals reduce

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    Chapter 11 Relational Database Design Algorithms and Further Dependencies Chapter Outline        0. Designing a Set of Relations 1. Properties of Relational Decompositions 2. Algorithms for Relational Database Schema 3. Multivalued Dependencies and Fourth Normal Form 4. Join Dependencies and Fifth Normal Form 5. Inclusion Dependencies 6. Other Dependencies and Normal Forms DESIGNING A SET OF RELATIONS  Goals:  Lossless join property (a must)  Algorithm 11.1 tests

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    Normalization of Database Tables Database Tables and Normalization * Normalization is a process for assigning attributes to entities. It reduces data redundancies and helps eliminate the data anomalies. * Normalization works through a series of stages called normal forms: * First normal form (1NF) * Second normal form (2NF) * Third normal form (3NF) * Fourth normal form (4NF) * The highest level of normalization is not always desirable. * The Need

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    Overview of Database Concepts TRUE/FALSE 1. A database is a physical storage device for data. ANS: F PTS: 1 REF: 2 2. A field is a basic unit of data also referred to as a record. ANS: F PTS: 1 REF: 3 3. A character is a basic unit of data and can consist of a number‚ letter‚ or special symbol. ANS: T PTS: 1 REF: 3 4. A collection of fields is a file. ANS: F PTS: 1 REF: 3 5. A collection of records is a file. ANS: T PTS: 1 REF: 3 6. A field in the logical design of a database corresponds

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    GRAND ASTORIA HOTEL RESERVATION WEBSITE A Project Presented to the Faculty of STI College-Zamboanga In Partial Fulfillment of the Requirements for the Degree of Bachelor of Science in Information Technology by Calisang‚ Ellis Marc D. Caramonte‚ Edcel B. Lim‚ Jason Justin O. Abdu-Shakoor L. Ibrahim Project Adviser October 2012 ADVISER’S RECOMMENDATION SHEET This Project entitled GRAND ASTORIA HOTEL

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    Database Normalization and Logical Process Concept paper This short paper will explain with a simple example the process and the need of normalization in the most of the business databases. Complete proposal break down (Timeline phases‚ Financial phases) will be submitted per management request. Overview At first any database should be designed with the end user in mind. Logical database design‚ also referred to as the logical model‚ is the process of arranging data into logical‚ organized groups

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    Normalization

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    DATABASE DESIGN: NORMALIZATION NOTE & EXERCISES (Up to 3NF) Tables that contain redundant data can suffer from update anomalies‚ which can introduce inconsistencies into a database. The rules associated with the most commonly used normal forms‚ namely first (1NF)‚ second (2NF)‚ and third (3NF). The identification of various types of update anomalies such as insertion‚ deletion‚ and modification anomalies can be found when tables that break the rules of 1NF‚ 2NF‚ and 3NF and they are likely to contain

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    Request Memo Normalization Cynthia Erney Database Concepts DBM/381 August 21‚ 2012 Nongxin Rao‚ PhD To: the Technical Services/Logistics Manager at Taylor Ambulance RE: Service Request SR-ta-001 Scheduling System Database This memo is to inform you that your service request SR-ta-001 has reached my desk and currently is in the process of being completed. The purpose of this memo is to report the progress on the service requests. Currently I am in the stage of normalizing the database to the third

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    Normalization Process

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    The normalization process is used by database developers to design databases in which it is easy to organize and manage data while ensuring the accuracy of data throughout the database. The advantages and disadvantages of both normalization and denormalization of a database are discussed‚ as well as data integrity versus performance issues that pertain to normalization. The highlights of this hour include * What normalization is * Benefits of normalization * Advantages of denormalization

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    Chapter 3: Table Normalization and Windows Azure SQL Database Review Questions 1. What are the conditions for a table to be a relation? Each cell in a table must contain a single value‚ there should be no duplicated rows‚ and all the cells in a column must contain the same type of data 2. How do you link a table to another table? Link tables based on a relationship connecting the entities with common column in each table 3. What is functional dependency? Give an example of functional dependency

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    Normalization Questions

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    NORMALIZATION TUTORIAL (EXTRA) 1. Given the dependency diagram‚ answer items a-c: [pic] a. Identify and discuss each of the indicated dependencies. C1 ( C2 represents a partial dependency‚ because C2 depends only on C1‚ rather than on the entire primary key composed of C1 and C3. C4 ( C5 represents a transitive dependency‚ because C5 depends on an attribute (C4) that is not part of a primary key. C1‚ C3 ( C2‚ C4‚ C5 represents a set of proper functional

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    Base Concepts II Data Dictionary and Normalization Guidelines The purpose of a data dictionary is to define the objects and data within an organization ’s database management system. This metadata does not contain any of the database ’s data‚ but only information about the structure‚ storage and use of the database ’s data. A data dictionary can be stored in files or documents‚ or can be stored within a database in the DBMS. For example‚ a database may contain an employee table that has an

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    advantages and disadvantages of normalization. The process of normalization brings about organization to the database that it is applied to. Normalization makes everyone’s job easier due to the fact that it gets rid of as much useless data as possible. Repeated data is processed and simplified into single data. Repeated data‚ for example such as having someone named JOHN DOE in one table and the same person’s name JOHNNY M. DOE in another table. Modifying a table with as little data as possible

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    Normalizaiton in Database

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    Normalization of Database Tables Introduction to Normalization of Database Tables Normalization of Database Tables l Introduction to Normalization of Database Tables 4 4 4 ISM 602 Dr. Hamid Nemati 4 4 4 Functional Dependency l Introduction to Normalization of Database Tables l l A Functional Dependency Is A Relationship Between Or Among Attributes Such That The Values Of One Attribute Depend On‚ Or Are Determined By‚ The Values Of The Other Attribute(s)

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    Database Normalisation

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    Key concepts Let me start by naming a few of the most important concepts in relational database design. A basic understanding of these will be required to understand the rest of the article. * Primary Key (PK) A column with a unique value for each row. Although not all database management systems (DBMS) require you to put a PK into each table‚ from a design perspective a PK is a requirement. No table should be without one. * Foreign Key (FK) These define relationships between tables. When

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    NORMALIZATION (Breaking down of a big single table into smaller ones) 1st STEP: UNF (Un-normalized Form) – A table with repeating groups of data OrderInvoice(OrderNo‚ OrderDate‚ CustNo‚ CustName‚ CustTel‚ CustContactPerson‚ {ItemCode‚ ItemDesc‚ UnitPrice‚ Quantity}) 2nd STEP: 1NF (First Normal Form) – Remove Repeating Groups How? By creating another table for the repeated data (the ones in curly bracket) 1. OrderInvoice(OrderNo‚ OrderDate‚ CustNo‚ CustName‚ CustTel‚ CustContactPerson) – orderInvoice

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