Features and How It Works?

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An open-source document-oriented database for efficient storage and retrieval of large-scale data. Categorized under NoSQL for its non-tabular data organization.

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MongoDB provides a server to create and manage multiple databases. Data is stored in collections and documents due to its NoSQL nature.

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Supports field searches, range queries, and regular expression searches.

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You can index any field in a document to optimize query performance.

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Supports Master-Slave replication. Master for reads and writes, Slave for backup and reads.

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Can run over multiple servers with duplicated data, ensuring system availability and resilience to hardware failure.

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Automatic load balancing configuration with data placed in shards.

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Supports map reduce and aggregation tools for data processing.

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Utilizes JavaScript instead of procedures for greater flexibility.

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Schema-less database written in C++, enabling dynamic and adaptable data structures.

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Offers high-performance operations and can easily store files of any size without complexity.

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This comprehensive guide will help you prepare for all aspects of the interview process. Don't miss out on your next opportunity!

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Features and How It Works?

What is MongoDB?

An open-source document-oriented database for efficient storage and retrieval of large-scale data. Categorized under NoSQL for its non-tabular data organization.

What is MongoDB?

MongoDB provides a server to create and manage multiple databases. Data is stored in collections and documents due to its NoSQL nature.

How It Works?

Supports field searches, range queries, and regular expression searches.

Feature: Ad Hoc Queries

You can index any field in a document to optimize query performance.

Feature: Indexing

Supports Master-Slave replication. Master for reads and writes, Slave for backup and reads.

Feature: Replication

Can run over multiple servers with duplicated data, ensuring system availability and resilience to hardware failure.

Feature: Duplication

Automatic load balancing configuration with data placed in shards.

Feature: Load Balancing

Supports map reduce and aggregation tools for data processing.

Feature: Map Reduce & Aggregation

Utilizes JavaScript instead of procedures for greater flexibility.

Feature: JavaScript Usage

Schema-less database written in C++, enabling dynamic and adaptable data structures.

Feature: Schema-less Database

Offers high-performance operations and can easily store files of any size without complexity.

Feature: High Performance & File Storage

This comprehensive guide will help you prepare for all aspects of the interview process. Don't miss out on your next opportunity!

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