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	<title>Relational database - Revision history</title>
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	<updated>2026-04-23T11:25:38Z</updated>
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		<id>https://wikimd.com/index.php?title=Relational_database&amp;diff=5652314&amp;oldid=prev</id>
		<title>Prab: CSV import</title>
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		<updated>2024-04-24T01:28:57Z</updated>

		<summary type="html">&lt;p&gt;CSV import&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;[[Image:Relational_database_terms.svg|Relational database terms|thumb]] &amp;#039;&amp;#039;&amp;#039;Relational database&amp;#039;&amp;#039;&amp;#039; is a type of [[database]] that stores and provides access to data points that are related to one another. Relational databases are based on the relational model, an intuitive, straightforward way of representing data in [[tables]]. In a relational database, each row in the table is a record with a unique ID called the [[primary key]], and each column is an attribute of the data.&lt;br /&gt;
&lt;br /&gt;
==Overview==&lt;br /&gt;
The concept of relational databases was first proposed by [[Edgar F. Codd]] at [[IBM]] in 1970, in his seminal paper &amp;quot;A Relational Model of Data for Large Shared Data Banks.&amp;quot; The relational model&amp;#039;s foundation is the mathematical concept of a relation, derived from set theory and predicate logic. This model organizes data into one or more tables (or &amp;quot;relations&amp;quot;) of columns and rows, with a unique key identifying each row. Rows in a table can be linked to rows in other tables by adding a column for the unique key of the linked row, known as a [[foreign key]].&lt;br /&gt;
&lt;br /&gt;
==Features==&lt;br /&gt;
Relational databases have several key features:&lt;br /&gt;
* &amp;#039;&amp;#039;&amp;#039;Structured Query Language (SQL)&amp;#039;&amp;#039;&amp;#039;: A standard user and application program interface used in querying, updating, and managing relational databases.&lt;br /&gt;
* &amp;#039;&amp;#039;&amp;#039;Data Integrity&amp;#039;&amp;#039;&amp;#039;: Ensures accuracy and consistency of data over its lifecycle. This is often enforced through constraints, such as primary keys and foreign keys.&lt;br /&gt;
* &amp;#039;&amp;#039;&amp;#039;Normalization&amp;#039;&amp;#039;&amp;#039;: A process that organizes data to reduce redundancy and improve data integrity.&lt;br /&gt;
* &amp;#039;&amp;#039;&amp;#039;Transactions&amp;#039;&amp;#039;&amp;#039;: Sequences of operations performed as a single logical unit of work, allowing for data consistency. Transactions are managed according to the ACID properties (Atomicity, Consistency, Isolation, Durability).&lt;br /&gt;
* &amp;#039;&amp;#039;&amp;#039;Security&amp;#039;&amp;#039;&amp;#039;: Mechanisms to control access to data, including authentication and authorization.&lt;br /&gt;
&lt;br /&gt;
==Advantages==&lt;br /&gt;
Relational databases offer several advantages:&lt;br /&gt;
* &amp;#039;&amp;#039;&amp;#039;Flexibility for querying data&amp;#039;&amp;#039;&amp;#039;: Users can query the database without knowing the data&amp;#039;s structure beforehand.&lt;br /&gt;
* &amp;#039;&amp;#039;&amp;#039;Ease of use&amp;#039;&amp;#039;&amp;#039;: The tabular representation of data makes relational databases easy to understand and use.&lt;br /&gt;
* &amp;#039;&amp;#039;&amp;#039;Data integrity and accuracy&amp;#039;&amp;#039;&amp;#039;: The database ensures that all data is accurate and consistent through constraints and transactions.&lt;br /&gt;
* &amp;#039;&amp;#039;&amp;#039;Scalability and performance&amp;#039;&amp;#039;&amp;#039;: Modern relational databases are designed to scale to meet the needs of large data volumes and high transaction rates.&lt;br /&gt;
&lt;br /&gt;
==Disadvantages==&lt;br /&gt;
Despite their advantages, relational databases also have some limitations:&lt;br /&gt;
* &amp;#039;&amp;#039;&amp;#039;Complexity&amp;#039;&amp;#039;&amp;#039;: Designing and maintaining a relational database can be complex, especially as the size and complexity of the database grow.&lt;br /&gt;
* &amp;#039;&amp;#039;&amp;#039;Performance issues&amp;#039;&amp;#039;&amp;#039;: For very large volumes of data or highly complex queries, relational databases may not perform as well as other types of databases, such as [[NoSQL databases]].&lt;br /&gt;
* &amp;#039;&amp;#039;&amp;#039;Rigid schema&amp;#039;&amp;#039;&amp;#039;: Changes to the database schema require significant effort and can be difficult to implement in a live database.&lt;br /&gt;
&lt;br /&gt;
==Examples of Relational Database Management Systems (RDBMS)==&lt;br /&gt;
Several popular relational database management systems (RDBMS) include:&lt;br /&gt;
* [[Oracle Database]]&lt;br /&gt;
* [[Microsoft SQL Server]]&lt;br /&gt;
* [[MySQL]]&lt;br /&gt;
* [[PostgreSQL]]&lt;br /&gt;
* [[IBM DB2]]&lt;br /&gt;
&lt;br /&gt;
Relational databases play a critical role in almost all areas where data is stored and managed, from financial services to healthcare, demonstrating their versatility and reliability.&lt;br /&gt;
&lt;br /&gt;
[[Category:Databases]]&lt;br /&gt;
[[Category:Data management]]&lt;br /&gt;
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		<author><name>Prab</name></author>
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