Web Development with Node.JS and MongoDB (Video 17)

This video introduces NoSQL databases, explaining that NoSQL means 'not only SQL' and offers alternatives to traditional SQL databases. It covers the motivation for using NoSQL, such as simplified design and horizontal scaling. The video categorizes NoSQL databases into key-value, document, column, and graph types, detailing their structures and use cases. Key-value databases are simple and unstructured, while document databases store data as documents. Column databases are like 2D arrays, and graph databases represent data as nodes and connections. The video concludes with a summary and a preview of the next topic on MongoDB schemas.

What does the term 'NoSQL' actually imply?

• New SQL

• SQL replacement

• No SQL at all

• Not only SQL

Which type of NoSQL database is known for its simplicity and lack of defined structure?

• Column store

• Key-value store

• Graph store

• Document store

In a document store database, how is data typically accessed?

• Through a relational schema

• Using a unique key

• Via a fixed structure

• By column indexing

Which type of NoSQL database is best suited for representing social network relationships?

• Graph store

• Document store

• Column store

• Key-value store

What is a key advantage of column store databases?

• They are easy to set up

• They are ideal for small datasets

• They scale well for large amounts of unstructured data

• They require a fixed schema