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MongoDB Tutorial for Beginners 1 - Introduction to MongoDB + Installing MongoDB Video Lecture | The Complete Developers Guide to Mongo DB - Database Management

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FAQs on MongoDB Tutorial for Beginners 1 - Introduction to MongoDB + Installing MongoDB Video Lecture - The Complete Developers Guide to Mongo DB - Database Management

1. What is MongoDB and why is it popular?
Ans. MongoDB is a document-oriented NoSQL database management system. It is popular because of its flexible schema, scalability, high performance, and ability to handle large amounts of unstructured data.
2. How do I install MongoDB on my computer?
Ans. To install MongoDB, you can follow these steps: 1. Go to the MongoDB website and download the appropriate version for your operating system. 2. Run the installer and follow the on-screen instructions. 3. Set up the MongoDB environment variables. 4. Start the MongoDB service. 5. Verify the installation by running the MongoDB command in the command prompt or terminal.
3. What is a document-oriented database?
Ans. A document-oriented database, like MongoDB, stores data in a format similar to JSON documents. It allows for flexible schemas, meaning that fields and their data types can vary from document to document within the same collection. This makes it ideal for handling unstructured or semi-structured data.
4. How does MongoDB handle scalability?
Ans. MongoDB provides horizontal scalability through its built-in sharding feature. Sharding distributes data across multiple servers, or shards, allowing for increased data storage capacity and improved performance. This ensures that as the data size grows, MongoDB can handle the increased load by distributing it across multiple servers.
5. Can MongoDB handle relational data?
Ans. MongoDB is a NoSQL database, which means it is not designed for storing relational data in the traditional sense. However, it does support embedding and referencing related data within documents. This allows for some level of relationship management, although it differs from the traditional relational database approach.
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