This is quite an elemental question. Think about it- what would be termed atomic? One that cannot be divided, as from its Greek definition. Atomic values in a relational database mean that they cannot be further divided, according to domain rules defining that attribute. An attribute is a column in the table that people normally think of as a relational database, and the notion is pretty correct. Domain rules define what data and its type can go into a column, and others are inadmissible. For instance, let's say that the database of a particular bank is organized as a set of tables, that is it is relational in nature, and one particular table lists the details of all account holders with the bank. All these details can reasonably form the attributes of the bank's customers, and can therefore be allowed to represent columns in this table. Suppose we have a column that holds the account numbers of the customers, and the domain rule defines that an entry in this column must necessarily be a non-negative, non-zero, integer. By this rule, 2453536 is an atomic value, whereas No. 10, Bowers Avenue is not, since the latter can be split further, and it also does not satisfy the domain rules.
A transaction must be an atomic unit of work; either all of its data modifications are performed or none of them is performed.
The number of fields in a database can vary widely depending on its design and purpose. Typically, a database table may have anywhere from a few fields to several dozen, depending on the complexity of the data being stored. To determine the exact number of fields in a specific database, one would need to examine its schema or structure directly.
In database a key is a field that we use to sort a data.whereas superkey is a subset of attribute so that no tuple have the same combination of values.
A primary key in a database uniquely identifies each record in a table, ensuring that no two rows have the same key value. It enforces entity integrity by preventing duplicate entries and null values in the key column. Additionally, primary keys are often used to establish relationships between tables in a relational database, facilitating efficient data retrieval and organization.
Adding and deleting data from a database can be straightforward, especially with well-structured databases and user-friendly interfaces. However, it can become complex depending on the database design, relationships between tables, and constraints like foreign keys. Proper permissions and understanding of the database management system (DBMS) are also essential to ensure data integrity during these operations. Overall, while basic operations are generally easy, complexities can arise in larger or more intricate databases.
form_title=Design a Web Database form_header=Hire a developer to design a database to complement your business. What kind of business is the database design for?=_ What will you need the database design to offer?=_ Will you need ongoing support for the design?= () Yes () No () Not Sure
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.
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In DBMS,Schema is the overall Design of the Database.Instance is the information stored in the Database at a particular moment.In programming,you declare a variable which corresponds to "Schema".But its values changes as and when required which corresponds to "Instance". Google about levels of Database Abstraction. Physical Schema describes database design at physical level while a logical schema describes the database design at the logical level.A database may also have several schemas at the view level, sometimes called subschemas, that describe different views of the database.
In DBMS,Schema is the overall Design of the Database.Instance is the information stored in the Database at a particular moment.In programming,you declare a variable which corresponds to "Schema".But its values changes as and when required which corresponds to "Instance". Google about levels of Database Abstraction. Physical Schema describes database design at physical level while a logical schema describes the database design at the logical level.A database may also have several schemas at the view level, sometimes called subschemas, that describe different views of the database.
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That depends on the type of database it is and the design of the Database Annalist.
* Logical database design: * ensuring, via normalisation procedures and the definition of integrity rules, that the stored database will be non-redundant and properly connected; * Physical database design: * specifying how database records are stored, accessed and related to ensure adequate performance. What is logical database designerThe major role of logical database design is to transform the combined, reconciled data specifications into basic or atomic elements following the well established rules for well structures data specifications. With a complete logical database design in place an analyst begins to specify the logic of the particular computer programs and queries needed to maintain and report the database content. The person who maintain or responsible to perform the above task is known as Logical Database designer.
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Logical database design is the process of designing the database at a conceptual level as opposed to a physical level. There are many advantages of conceptual database design, such as the ability to design the database without having to commit to a particular database management system, to produce a document that is readable and understandable to everyone in the company (not just the database person) and to produce an overall design document that can be saved as a part of the documentation of the database for future enhancement, maintenance and support work. Logical database design produces documents for use in the same way that architects produce blueprints for building purposes.
Database architecture