A Relational database is a tool which can help you store, manage and disseminate information of various kinds. It is a collection of objects, tables, queries, forms, reports, macros, all stored in a computer program all of which are inter-related.
An information structure that stores data in tables that can be linked to each other for cross-referencing - for instance, a table that presents vocabulary items and their grammatical features that is linked to a table that presents grammatical features and their definitions. This format prevents the duplication of data and is the preferred method of storing complex sets of information. Compare to flat file database.
A database system in which the database is organized and accessed according to the relationships between data items without the need for any consideration of physical orientation and relationship. Relationships between data items are expressed by means of tables.
applications: A database application where more than one file can be linked together, such as a customer list and an order list linked by a customer number. You can program all kinds of fancy functions; for example, as you type in the customer name the address and other info automatically pop into the right fields on the order form. Relational databases are made of files and produce output called reports. They are a must for serious business work. These applications, such as 4th Dimension, are harder to use and cost more than flat-file databases, but they are very powerful.
A type of database management system (DBMS) that stores data in the form of related tables. Relational databases are powerful because they require few assumptions about how data is related or how it will be extracted from the database. As a result, the same database can be viewed in many different ways. An important feature of relational systems is that a single database can be spread across several tables. This differs from flat-file databases, in which each database is self-contained in a single table.
A database that is organized and accessed according to relationships between items. Interdependencies among the data are expressed by data values rather than by pointers or by the location of the data items in memory providing users with a flexible approach to storing and retrieving data.
a number of tables which are linked together via fields of related data. These tables can contain any number of fields with all possible kinds of information stored in them such as names of members of staff, their e-mail addresses, etc.
Uses a logical structure to store the authentication data in a table with columns and fields. There should be no duplication of any data, helping to maintain database integrity. This can also represent a huge saving in file size, which is important when dealing with large volumes of data
the design of databases as we see it implemented in products like Interbase, Oracle and Sybase. Backed by a strong theoretical work done by E. F. Codd and Chris Date, the model follows the set concept in mathematics and relationships are represented by "link" attributes. Speaking rigorously, a database schema (structure of the objects) must be "normalized", passing through all "normal forms", namely, 1st, 2nd, 3rd, Boyce-Codd and 5st. However, in practice, a database in third normal form is accepted as normalized. One of the subjects that cause controversy until now is the representation and use of null values.
A relational database is a collection of data items organized as a set of formally-described tables from which data can be accessed or reassembled in many different ways without having to reorganize the database tables.
Data are stores as table format. Each file is implemented as a table. Each field is a column in the table. Each record in the file is a row in the table. Related records between two tables are implemented by intentionally duplicating columns in the tow tables. Relationships A natural business association that exists between one or more entities. This links the entities or merely a logical affinity that exists between the entities.
A database organization method that links files together in order to perform cross-tabulation and queries, resulting in value-added information. Non-relational databases organize information in a flat file structure.
A method of organizing data that structures it into tables of records, or rows, each having the same fields, or columns. Permits flexibility in pre-defining relationships among data components or tables or dynamically defining relationships at the time records are retrieved.
A file or system of files used to contain data that is structured to permit the data to be readily input and output. When constructed of multiple files, relations between individual data fields in the different files can be linked to permit data in one field of one file to act as a means of retrieving information in one or more data fields in the other file or files.
A relational database is a database based on the model originally developed by E.F. Codd. Data in a relational database are organized in tables. A table is a collection of records, and each record is a collection of fields. Relationships between fields are established at retrieval time, establishing relational databases as dynamic systems.
Software designed for storing data in a structured way and for allowing easy retrieval and maintenance of that data. Examples of commonly used Relational Databases include Microsoft Access, Microsoft SQL Server and MySQL.
Data management system designed to enhance data independence and consistency by severing the connection to physical storage devices and by providing for rigorous definitions of both data structure and data manipulation.
The most popular type of DBMS.All data is stored in tables(sometimes called relations).Tables are logically connected by the data they hold (e.g.,through the key values).Relational databases should be designed through data normalization.
A database built using the relational model, based on tables linked by a common key. Relational databases do not have any predefined access paths, and the order of records within each table is arbitrary.
A relational database is built on one or more indexes of information so that when a single change is made, it can be reflected into multiple areas (relationships) as in a one to many or many to many type relationships.
A database that is organized and accessed according to relationships between data items. A relational database contains a collection of relational tables, views, and indexes. You can store many multidimensional applications and databases in a single relational database.
A database structure composed of more than one flat file (2-dimensional arrays) that can be transformed to form new combinations because of relations between the data in the records, in contrast to hierarchical and network database structures.
A method of structuring data as collections of tables that are logically associated to each other by shared attributes. Any data element can be found in a relation by knowing the name of the table, the attribute (column) name, and the value of the primary key. See also relate, relate key, and relational join.
stores data in such a way that it can be added to, and used independently of, all other data stored in the database. Users can query a relational database without knowing how the information has been organized. Although relational databases have the advantages of ease-of-use and analytical flexibility, their weakness can be slower retrieval speed. SQL is one example of a relational database.
A file containing a number of tables. Each table contains logically related data eg. a table to contain name and address details. A special program (called a database engine or optimizer) determines the most efficient way to access the information and controls all access. Several users can access the data at the same time and data being updated by one user will be locked to prevent conflicting updates requested by another user.
Database organization method that links files together as required. Relationships between files are created by comparing data such as account numbers and names. A relational system can take any two or more files and generate a new file from the records that meet the matching criteria. Routine queries often involve more than one data file; e.g., a customer tile and an order file can be linked in order to ask a question that relates to information in both tiles, such as the names of the customers that purchased a particular product
Database organized and cross-referenced in rows and columns. Also, a software program that allows users to obtain information drawn from two or more databases that are made up of two-dimensional arrays of data. Not a hierarchical database. Retail Inventory: Inventory counted/extended using retail prices rather than actual prices or cost.
A structured collection of data that stores data in tables consisting of one or more rows, each containing the same set of columns. Oracle makes it very easy to link the data in multiple tables. This is what makes Oracle a relational database management system, or RDBMS. It stores data in two or more tables and enables you to define relationships between the tables. The link is based on one or more fields common to both tables.
A database which structures data in the form of tables. Each table contains information relevant to a particular feature, and is linked to other tables by a common value. For example, two attribute tables could be linked to a spatial data table via a Geocode, such as the postcode.
A collection of information organised in tables. Each table models a class of objects of interest to the organisation (for example, Customers , Parts , Suppliers ). Each column in a table models an attribute of the object (for example, LastName , Price , Color ). Each row in a table represents one entity in the class of objects modeled by the table (for example, the customer name John Smith or the part number 1346). Queries can use data from one table to find related data in other tables.
a database where data are stored in more than one table, each one containing different types of data. The different tables can be linked so that information from the separate files can be used together.
A relational database, or relational database management system, is a database where information is organized in tables. Information in one table can be linked to another table through a field they have in common. For instance, a database might have one table that stores contact information about clients, and another table that stores information about services provided to clients. The two tables would be related so that a user could find out the addresses of all clients who used a certain service. Relational databases are easier to extend than flat-file databases, since it is possible to add a table that stores a new type of information without changing the rest of the database. The standard interface for relational databases is SQL, or Structured Query Language. Microsoft Access is relational, and recent versions of Filemaker have relational capabilities. Source: TechSoup.org
A method of structuring data as collections of tables that are logically associated to each other by shared attributes so that relations between different entities and attributes can be used for data access and transformation. Any data element can be found in a relation by knowing the name of the table, the attribute (column) name, and the value of the primary key. A database where information is arranged into tables and the dependencies between information is mapped by dependencies between two or more tables.
A relational database is a database with relationships between its tables of records based on common fields. In a relational database, all data is held in tables, which are made up of rows and columns. Each table has one or more columns, and each column is assigned a specific data type, such as an integer number, a sequence of characters (for text), or a date. Each row in the table has a value for each column Examples of relational databases are SQL Server, Sybase ASA/ASE, Oracle, etc..
(1) A data structure organized so that it is perceived by its users as a collection of tables. (2) A database that is organized and accessed according to relations. A relational database has the flexibility to generate new tables from existing records that meet specified criteria.
A relational database management system (RDBMS) organizes data into related rows and columns as specified by the relational model. Microsoft SQL Server and Oracle are examples of relational database management systems. A Microsoft Access database is an example of a relational database.
Relational databases are at the heart of the data warehouse. Data and relations between them are organized into tables - collections of records with each entry containing the same fields. Some fields are designated as keys, so that searches indexed by specific values for key fields retrieve data rapidly. Records in different tables may be linked if they have the same value in a certain field. Examples are Sybase, Informix, OLEDB, SQL server, and Oracle.
A database file in which records can include pointers to other tables that contain some of the information required to describe the record. Relational databases can be a more efficient means of storing information. For example, a relational database of music CDs would require only one field to describe the contact information for the artist's fan club. This field would hold a pointer to another table containing the fan club information for every artist in the database. Contrast with flat-file database.
Synonyms: database, RDBMS, traditional database Related Terms: SQL, join, table, record, database gateway The traditional software used to store large amounts of structured electronic data on a computer. Oracle is an example of a relational database.
A way of modeling information in a database by relations between the features. Relations are usually represented as a collection of tables where each table contains the occurrences of a particular feature. Each column of the table corresponds to an attribute and each row is an instance of the feature. For example, two related tables might be created to describe types of transportation networks in a data set. The first table has columns that uniquely identify the transportation feature, and another that contains codes that describe the transportation type (trails, roads, railways, ferries, etc.). A second table, which relates to the first, might contain columns that list the transportation codes used in the first (related) table, and a second column that defines, in further detail, the definition of the code (gravel, asphalt, concrete, etc) and road maintenance schedule for that type of road surface. The benefit of a relational database is that repetitive information is not recorded numerous times in a table, but instead is pointed to in related tables. Also referred to as Relational Database Management Systems (RDBMS).
Data stored in the form of related tables, each of which may have a different record format. It can be randomly accessed by a search of keywords or fields and reorganized on demand to provide maximum search flexibility.
A database in which all information is arranged in tables containing predefined fields. Changing a field in one record automatically changes the same field in all related records, allowing for easy global database management. Using SQL, reports and comparisons can be generated by selecting fields of interest from the original database.
A database that shows the relationship between various pieces of information stored about customers. The information stored can include anything from names and addresses to a customers buying habits. Relational databases make updating and altering records a much easier task.
A relational database is built and operated in accordance with a relational model of data that provides a simple and intuitive method for defining a database, storing and updating data in it, and submitting queries of arbitrary complexity to it. It provides a consistent foundation for all other topics that database managers commonly cover. It enables individual users to work with customized database schemas instead of all having to use the same underlying schemas (Ralston and Reilly, 1993).
Information storage system in which there is an association between two or more things. Organized according to relationships between data items. Collection of tables that are logically associated to each other by shared common attributes. Entering the table name, attribute name, and the value of the primary key, any data element or set of elements can be retrieved. Consists of table rows and columns.
1. A database in which the data are organized and accessed according to relations. 2. (IRM) A collection of data that is organized into related tables. Relationships are established between and among data in the tables. Data can be queried and retrieved from a relational database through the use of SQL.
A collection of normalized relations that are given as a set of two dimensional table where each row corresponds to one element of the relation, and each column contains attributes. The relation between tables can be connected with common attributes.
A database allowing you to see the relationship between various pieces of information stored about customers. This information can include anything from names, addresses and customersâ€(tm) buying habits to age, sex and communication history. â€˜Flatâ€(tm) databases can hold lots of information (i.e. a spreadsheet) but do not allow users to mix, match and thus identify patterns of activity or knowledge.
A relational database allows the definition of data structures, storage and retrieval operations, and integrity constraints. In such a database, the data and relations between them are organized in tables. A table is a collection of records and each record in a table contains the same fields. Certain fields may be designated as keys, which means that searches for specific values of that field will use indexing to speed them up. Records in different tables may be linked if they have the same value in one particular field in each table.
A database or database management system that stores information in tables - rows and columns of data - and conducts searches by using data in specified columns of one table to find additional data in another table. In a relational database, the rows of a table represent records and collections of information about separate items and the columns represent fields. In conducting searches, a relational database matches information from a field in one table with information in a corresponding field of another table to produce the combined requested data from two or more tables. For example, if one table contains the fields counterparty ID, deal ID, deal amount, deal currency and another contains the fields counterparty ID, counterpart SWIFT details, a relational database can match the counterparty ID fields in the two tables to find such information as the SWIFT details for all deals. In other words, a relational database uses matching values in two tables to relate information in one to information in the other.
A relational database is a database that conforms to the relational model, and refers to a database's data and schema (the database's structure of how that data is arranged). Common usage of the term "Relational Database Management System" technically refers to the software used to create a relational database, but sometimes mistakenly refers to a relational database.