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Normalization Normalization

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Normalization[1] is a design technique that is widely used as a guide in designing relational databases. Normalization is basically a two step process that puts data into tabular form by removing repeating groups and then removes duplicate data from the relational tables. Normalization is based on the concepts of normal forms. A relational table is a normal form if it's satisfied with certain constraints. There are currently five normal forms for normalization[2](first normal form, second normal form, third normal form and so on). The process of scaling the level of a digital signal so that it produces the maximum possible output level without clipping or aliasing. This is a common feature in samplers and digital recording systems to maximize the signal-to-noise performance of whatever the output is routed to (such as a mixer input). Normalization refers to an Attack Power adjustment made to instant attacks in patch 1.8. Hunter ranged instant attacks were also normalized in patch 1.10. Before normalization occurred in patch 1.8, the damage of instant attacks included the weapon speed as a factor to attack power, thus greatly benefitting slow weapons with high swing times. Because of this, slow weapons with lower weapon dps could lead to a higher total damage per second than fast weapons with nominal higher weapon dps, which is counter-intuitive. Normalization is

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Before normalization occurred in patch 1.8, the damage of instant attacks included the weapon speed as a factor to attack power, thus greatly benefitting slow weapons with high swing times. Because of this, slow weapons with lower weapon dps could lead to a higher total damage per second than fast weapons with nominal higher weapon dps, which is counter-intuitive. One notable example is the Barman Shanker, which was at this time considered by many as the best rare dagger due to its exceptional high swing time, although there were other rare daggers with higher nominal weapon dps (or item level) available. Normalization is Normalization[1] is a design technique that is widely used as a guide in designing relational databases. Normalization is basically a two step process that puts data into tabular form by removing repeating groups and then removes duplicate data from the relational tables. Normalization is based on the concepts of normal forms. A relational table is a normal form if it's satisfied with certain constraints. There are currently five normal forms for normalization[2](first normal form, second normal form, third normal form and so on). The goal of normalization is to have relational tables free of redundant data and that can be correctly modified with consistency. If this holds true, then all relational databases should be in the third normal form. The first two normal forms are proceeding steps to get the relational database into the third normal form and achieve the goal of it getting there. Functional dependencies help understand the second normal form and any normal form there after. Functional dependencies are to make sure that data in certain tables are precisely correct and are associated with correct data in other tables at any given time. For example, column A of the relational table S is functionally dependent upon column X of table S if and only if value X in table S is only associated with one value of A at a given time. Normalization is the process of removing redundant data from relational tables by decomposing the tables into smaller tables by projection. A relational table is considered to be in the first normal form from the start. All values of the column are atomic, which means it contains no repeating values. The second normal form means that only tables with composite primary keys can be in the first normal form, but not in the second normal form. A relational table is considered in the second normal form if it is in the first normal form and that every non-key column is fully dependent upon the primary key. The process of moving from a first normal form into the second normal form consists of five steps which include: 1. Identify any determinants other than the composite key, and the columns they determine. 2. Create and name a new table for each determinant and the unique columns it determines. 3. Move the determined columns from the original table to the new table. The determinate becomes the primary key of the new table. 4. Delete the columns you just moved from the original table except for the determinate which will serve as a foreign key. 5. The original table may be renamed to maintain semantic meaning. A relational table is considered in the third normal form if all columns in the table are dependent only upon the primary key. The five step process for transforming into a third normal form are as follows: 1. Identify any determinants, primary key, and the columns they determine. 2. Create and name a new table for each determinant and the unique columns it determines. 3. Move the determined columns from the original table to the new table. The determinate becomes the primary key of the new table. 4. Delete the columns you just moved from the original table except for the determinate which will serve as a foreign key. 5. The original table may be renamed to maintain semantic meaning. The third normal form is where the relational tables should be because they have the advantage of eliminating redundant data which saves space and reduces manipulation anomalies. Normalization refers to an Attack Power adjustment made to instant attacks in patch 1.8. Hunter ranged instant attacks were also normalized in patch 1.10. The process of scaling the level of a digital signal so that it produces the maximum possible output level without clipping or aliasing. This is a common feature in samplers and digital recording systems to maximize the signal-to-noise performance of whatever the output is routed to (such as a mixer input).