Normalization of the ERD By: Vanessa Kennedy Normalization of the ERD The normalization of the ERD along with the driver’s log is taking all of the data within the database and putting the information into tables (World Book‚ 2011). In addition‚ after the data is normalized it then is put into an Entity Relationship Diagram or ERD (World Book‚ 2011). In this paper we will look at the ERD of the driver’s log. The normalization that I would perform on the driver’s log would be on the Driver’s
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ERD Explanation DBM/380 January 23‚ 2012 ERD Explanation There are several levels of normalization such as 1NF‚ 2NF‚ and 3NF. The Huffman Driver database was brought to the normalization level of 3NF by following a series of guidelines from the lowest form of normalization‚ 1NF. The first normalization form level (1NF) consists of the basic rules for an organized database. These are: • Eliminate duplicative columns from the same table. • Create separate tables for each group
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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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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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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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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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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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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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CSS/559 Data 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
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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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