Relational database has many advantages over the flat file database:
1. Avoids data duplication.
2. Avoids inconsistent records.
3. Easier to change data.
4. Easier to change data format.
5. Data can be added and removed easily.
6. Easier to maintain security.
In the context of a relational database, a file is typically referred to as a table. Tables are used to store structured data in rows and columns, allowing for efficient organization and retrieval of information. Each table represents a distinct entity or concept within the database schema.
In a relational databaseA field is called a column.A record is called a row (of multiple columns).A file is called a table (of multiple rows).
A flat file system usually stores the same type of information over and over again, whereas a relational database does not. A flat file system might store zip-codes and their explanation (location of the zip code) over and over again, each time per record. A relational database stored the explanation for any given zip-code only once, and looks that information up when it needs it. --
see the link below http://www.freetutes.com/systemanalysis/sa8-comparison-relational-model-oo-model.html Different database models differ in their representation of relationships. In relational model, connections between two relations are represented by foreign key attribute in one relation that reference the primary key of another relation. Individual tuples having same values in foreign and primary key attribute are logically related. They are physically not connected. Relational model uses logical references. In object oriented model, relationships are represented by references via the object identifier (OID). This is in a way similar to foreign keys but internal system identifiers are used rather than user-defined attributes. The Object Oriented model supports complex object structures by using tuple, set, list, and other constructors. It supports the specification of methods and the inheritance mechanism that permits creation of new class definitions from existing ones. In relational model, each base relation is implemented as a separate file. If the does not specify any storage structure, most RDBMS will store the tuples as unordered records in the file. It allows the user to specify dynamically on each file a single primary or clustering index and any number of secondary indexes. It is the responsibility of user to chObject Orientedse the attributes on which the indexes are set up. Some RDBMSs give the user the option of mixing records from several base relations together. It is useful when related records from more than one relation are often accessed together. This clustering of records physically places a record from one relation followed by the related records from another relation. In this way the related records may be retrieved in most efficient way possible. Object Oriented systems provide persistent storage for complex-structured objects. They employ indexing techniques to locate disk pages that store the object. The objects are often stored as byte strings, and the object structure is reconstructed after copying the disk pages that contain the object into system buffers. Relational model has keys, entity integrity, and referential integrity. The constraints supported by Object Oriented systems vary from system to system. The inverse relationship mechanism supported by some Object Oriented systems provides some declarative constraints. There are languages such as SQL, QUEL, and QBE are available for relational systems. These are based on the relational calculus. In Object Oriented systems, the DML is typically incorporated into some programming language, such as C++. Hence, the structures of both stored persistent objects and programminglanguage transient objects are often compatible. Query languages have been developed for Object Oriented databases. Work on a standard Object Oriented model and language is progressing, but no complete detailed standard has emerged as yet.
A saved workbook is referred to as a file in Microsoft Excel. This file typically has a .xlsx extension and contains all the data, formatting, and calculations that have been input into the workbook.
A user of a relational database typically refers to a file as a "table." Tables in a relational database store data in rows and columns, following a structured format to allow for efficient data storage and retrieval.
Access can use a relational model of a database design.
In the context of a relational database, a file is commonly referred to as a table. A table is structured in rows and columns to store related data in a database system. Each table represents a specific entity or concept within the database.
An Access database is a relational database contained in a single file that you can upload to a directory on your Web server. People typically create an Access database file using Microsoft Access or FrontPage.
An Access database is a relational database contained in a single file that you can upload to a directory on your Web server. People typically create an Access database file using Microsoft Access or FrontPage.
In the context of a relational database, a file is typically referred to as a table. Tables are used to store structured data in rows and columns, allowing for efficient organization and retrieval of information. Each table represents a distinct entity or concept within the database schema.
Sometime in 2011 or 2012 Intuit upgraded QuickBooks, replacing its flat file system with SQL Anywhere from Sybase iAnywhere, allowing QuickBooks to store data in a relational database format.
In a relational databaseA field is called a column.A record is called a row (of multiple columns).A file is called a table (of multiple rows).
Flat file databases are also called as relational databases describe any different means to encode a database model. This requires data to be kept in one large table. Big up Philip Proctor
Thomas Kyte has written: 'Expert Oracle Database Architecture' 'Effective Oracle by design' -- subject(s): Database design, Oracle (Computer file), Relational databases
The relational model offers better data organization through its structured tables with defined relationships between them, facilitating data consistency and integrity. It also allows for more efficient querying and retrieval of data using SQL, compared to the sequential file access in traditional file processing systems. Additionally, the relational model supports normalization to reduce data redundancy and improve data maintenance.
A flat file system usually stores the same type of information over and over again, whereas a relational database does not. A flat file system might store zip-codes and their explanation (location of the zip code) over and over again, each time per record. A relational database stored the explanation for any given zip-code only once, and looks that information up when it needs it. --