SQL
Normalization is the process of creating table designs by assigning specific fields or attributes to each table in a database.
Memory should be taken into account when building a database and maintain integrity and avoid redundancy through normalization.
A database or systems designer will do it. They could also have other roles like being an analyst or a database administrator. Whoever is designing a database may work with people in some of those other jobs, particularly when it is a very large system. If it is a small database, then it is easy to design and somebody with a bit of knowledge of databases can design and create one.
Database Approach vs. Traditional File ProcessingSelf contained nature of database systems (database contains both data and meta-data).Data Independence: application programs and queries are independent of how data is actually stored.Data sharing.Controlling redundancies and inconsistencies.Secure access to database; Restricting unauthorized access.Enforcing Integrity Constraints.Backup and Recovery from system crashes.Support for multiple-users and concurrent access.
DBMS utilities
To create an unnormalized table, you can combine multiple related entities and their attributes into a single table without splitting them into separate tables. This violates the principles of database normalization, leading to redundancy and potential data anomalies. Unnormalized tables can be created by directly designing the database schema without following normalization rules.
Anomalies are not required in a database. An anomaly is a inconsistency or a problem. A well designed database should not have any anomalies. If there are some, they can cause problems for the users and for the reliability and efficiency of the database.
When designing a database, you should reduce duplicate information, which is known as normalization. This process involves organizing data into separate tables to minimize redundancy and improve data integrity. By normalizing a database, you can avoid data anomalies and maintain consistency in your data.
There are 3types 1) Update Anomalies 2) Insertion Anomalies 3) Deletion Anomalies
Design of the database (Database Design) refers to a given application environment, optimize the structure of the database, the database and applications, which can efficiently store data to meet the application needs of various user information needs and processing requirements). At www. myelibrary.net.In you can clearly understand what is the database design.
Anomalies is the data within the database it is the copy of the original data it needs to be updated in order to avoid problems such as viewing the website.
A business could go in for a database if it has a lot of data and there are concerns about redundancies
Database anomalies are unmatched or missing information bits caused by limits or flaws within a database. Databases are designed to collect and sort data.
Normalization is a process of reducing redundancies of data in a database. If you don't normalize you will have to repeat data entry.
The database life cycle refers to the process of designing, creating, implementing, and maintaining a database system throughout its entire existence. It typically involves stages such as requirements analysis, database design, implementation, testing, deployment, and ongoing maintenance and updates to ensure the database remains efficient and effective.
It sounds like your experiencing "duplication anomalies". Most anomalies can be prevented by normalizing your database. Third normal form should prevent most anomalies in a simple contact database (look into "3NF" and "normalization"). Basically, duplication anomalies come from flaws in how your table and keys are set up. You may not have to tear down the whole base, but may need to export the data and reconstruct some of the tables. -APMc
The purpose of normalization is to reduce the chances for anomalies to occur in a database. The Normalization also forces you to use a database in a Object orientated manner. (This is good of course.)