Non Relational Database (NoSQL) - Revision history

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-A non-relational database, also known as NoSQL (short for "not only SQL"), is a type of database management system that does not use the traditional relational database model. Unlike traditional relational databases, NoSQL databases can store and manage large volumes of unstructured or semi-structured data, such as text, documents, images, and videos, that may not fit neatly into tables and rows.
+A '''non-relational database''', also known as NoSQL (short for "not only SQL"), is a type of [[Database Management System (DBMS)|database management system]] that does not use the traditional relational database model. Unlike traditional relational databases, NoSQL databases can store and manage large volumes of unstructured or semi-structured data, such as text, documents, images, and videos, that may not fit neatly into tables and rows.
 NoSQL databases use a variety of data models, including document-based, key-value, column-family, and graph-based models, to represent and store data. These data models provide flexibility and scalability that are not always possible with relational databases.
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 However, the NoSQL database may not provide the same level of consistency and data integrity as a traditional relational database, which may be a limitation for applications that require complex transaction processing or strict data validation.

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−	'~~''Content Coming Soon'''~~	+	A non-relational database, also known as NoSQL (short for "not only SQL"), is a type of database management system that does not use the traditional relational database model. Unlike traditional relational databases, NoSQL databases can store and manage large volumes of unstructured or semi-structured data, such as text, documents, images, and videos, that may not fit neatly into tables and rows.
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		+	NoSQL databases use a variety of data models, including document-based, key-value, column-family, and graph-based models, to represent and store data. These data models provide flexibility and scalability that are not always possible with relational databases.
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		+	NoSQL databases are often used in applications that require high scalability, availability, and performance, such as web applications, mobile applications, and big data applications. They are also used in applications that require real-time data processing and analytics, such as social media platforms and e-commerce websites.
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		+	One advantage of NoSQL databases is their ability to handle large volumes of unstructured data. They can also be highly scalable and flexible, allowing for easy expansion and integration with other systems.
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		+	However, one limitation of NoSQL databases is that they may lack the same level of consistency and data integrity as traditional relational databases, making them less suitable for applications that require complex transaction processing or strict data validation.
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		+	To illustrate some key concepts of NoSQL databases, consider the following example:
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		+	Example: A social media platform is collecting large amounts of user data, including posts, comments, likes, and followers. The platform uses a NoSQL database to store and manage this data, using a document-based data model.
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		+	In this data model, each user's data is represented as a document, which contains key-value pairs that represent different attributes, such as user ID, name, email, and activity history. These documents can be easily added, modified, or removed as new data is collected.
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		+	The NoSQL database allows the social media platform to easily scale and handle large volumes of user data. It also allows for flexible querying and analysis of the data, enabling the platform to quickly generate personalized recommendations and insights for each user.
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		+	However, the NoSQL database may not provide the same level of consistency and data integrity as a traditional relational database, which may be a limitation for applications that require complex transaction processing or strict data validation.