The world we are working and living in is driven by data. Therefore, if an individual wishes to make the most of that data, they would need easily accessible and organised information. Simply put, one would require a database. Any structured data or information that is specially stored and organised in a computer for fast search and retrieval in a database.
The popularly used database of NoSQL is MongoDB. Taking a MongoDB developer course will help you get a deep understanding of the applications and working of MongoDB.
The Evolution of MongoDB
SQL or Structured Query language came before the World Wide Web ( WWW). But with the growth of functionality of the websites, developers began to wish for a generation of web pages with the help of content that could alter without redeploying the code over time. Due to this, No SQL or not only SQL was developed. The properties of ACID, that is, atomicity, consistency, isolation, and durability have been relaxed by No SQL as it better guarantees flexibility, scalability, performance, and reduced complexity.
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What is MongoDB?
In 2009, Mongo DB was created as a free, robust, highly scalable and open-source database of No SQL. Their commercial version of MongoDB is also available, and its source code is in GitHub.
Mongo DB has grown a reputation as a flexible and versatile database and is presently used as the backend data store for Twitter, IBM, Google, Facebook, Forbes and many more of the high-profile organisations and businesses.
One of the non-relational systems of the database is MongoDB. There are two fundamental types of databases: the relational one being SQL and the non-relational one being No SQL. Data is stored in rows and columns in relational databases. The RDBMS or relational database management system is used by organisations like Sybase and Microsoft SQL Server Oracle.
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No SQL databases, on the other hand, store unstructured and schema-less data in multiple nodes and collections. Fixed table sachems are not required by databases that are non-relational. Limited join queries are supported by No SQL databases, and they are scaled horizontally.
What are the benefits of MongoDB?
- There are no schema hassles. One can put data in a No SQL database without needing a predefined schema, enable a change of formats and data models without the disruption of applications.
- Integrated caching is supported. Data output performance is boosted by system memory caching.
- It is highly and easily scalable. Due to the horizontal expansion of MongoDB, one can add more machines to the resource pool in order to scale.
The Mongo DB Developer course will discuss more such benefits of MongoDB along with its salient features and why people should use it.