In large data applications, MongoDB is a well-known non-relational database system from the mid-2000s. This MongoDB course is intended specifically for those who are new to the IT business and desire to work there.
A New York-based business called MongoDB Inc., formerly known as 10gen, created MongoDB. Dwight Merriman, Eliot Horowitz, and Kevin Ryan developed the MongoDB in 2007. The group behind DoubleClick was this three (now owned by Google).
Initially, it was created as a platform-as-a-service. Then, in 2009, MongoDB Inc. released it as an open source database server on the market. The firm looks after the server and offers contact and email support every single day. The initial release of MongoDB was version 1.4, which came out in March 2010.
In this article, we’ll examine what MongoDB is, along with a brief introduction to the world of current database management systems. In addition, we’ll talk about MongoDB’s features, history, uses, and installation procedure while using several real-world MongoDB examples.
What is NoSQL Database?
We need to understand NoSQL before we begin the MongoDB Tutorial. A non-structured database is known as NoSQL or “non-SQL.” It offers a field-based system for the storage and retrieval of data. While the data is stored in tabular form in SQL.
Businesses use NoSQL databases for real-time and big data applications. NoSQL delivers “eventual consistency,” which means that it might not satisfy the requirements of real-time applications. Its use still has advantages over relational databases.
What is MongoDB?
MongoDB is a C++-based open source platform with a fairly simple setup process. It is a non-structured, document-oriented, cross-platform database. High performance, high availability, and auto-scaling are all features of MongoDB.
It is a NoSQL database with adaptable querying and indexing capabilities. Due to MongoDB’s extremely robust query language, performance is good.
Here, in this section of the MongoDB Tutorial, we go through some of MongoDB’s most important features:
1. Ad-hoc Queries
By indexing, MongoDB facilitates ad-hoc queries.
2. Schema-less databases
As opposed to organised databases, it is relatively flexible. It is not necessary to type map.
It is database-like in nature and document-oriented.
Both primary and secondary indices can be used to index any document.
It possesses this potent tool. Every document has one primary node and two or more secondary replications on top of that.
MongoDB offers an aggregate architecture for batch processing for effective usability.
It can store files on various devices because to its grid file system.
The best feature is sharding for huge data sets. It disperses enormous data across numerous devices.
9. Excellent performance
Faster searches are supported by high performance indexes, resulting in excellent performance.
The Applications of MongoDB are covered in this section of the MongoDB Tutorial.
- Catalog of products for e-commerce.
- Content management for big data
- High-speed logging and real-time analytics.
- keep track of geolocations
- keeping track of social media data.
So, we looked at what MongoDB is and what a NoSQL database is in this MongoDB tutorial. We may also observe MongoDB features alongside MongoDB history. The setup of the MongoDB environment and applications was finally covered.
Additionally, feel free to ask any questions you may have about the MongoDB tutorial in the comment box.