Used by the top 500 organizations across the world, MongoDB is utilizing in almost every industry including sectors such as healthcare, social media, finance, and retail.
To date, there are more than 1,000,000 community members of the MongoDB community. Also, the number of university students pursuing learning this database system in any form is more than 1,300,000.
The features and functionalities of MongoDB must be so powerful that it has enormous community support and the number of professionals looking forward to learning this database management system by taking MongoDB Training is consistently increasing.
MongoDB is a document database known for its scalability and flexibility that you need while querying and indexing the data. It is defined as a source available or open-source NoSQL (Not Only SQL) database management program. When it is not possible to manage the data with the traditional database system, NoSQL comes into action. Generally, NoSQL databases enable you to work with huge datasets easily. MongoDB is a tool that handles document-oriented information, and also stores or retrieves information. The storage and retrieval of data are not done in tables, hence MongoDB is referred to as a NoSQL database program.
The environment of MongoDB provides you with a database server that you can start working on, and allows you to create multiple databases it using MongoDB. So, basically, MongoDB is a database server that stores data in its databases.
Since it is a NoSQL database, the data is stored in the form of collections and documents rather than in tabular form. Hare, the database consists of collections which in turn comprise several documents.
The working of MongoDB is explained in the steps below:
• Just like in MySQL the data is stored in tabular form, MongoDB stores the data in the form of collections and documents. It allows you to build multiple databases or collections.
• Inside the collections, you can build numerous documents where the data is to be stored in the MongoDB database. MongoDB has a schema-less structure which means that one document can be different from another document.
• MongoDB stores data in JSON-like documents that are flexible, which implies that the field for every document can be different, and also the data structure can be changed as required. Fields are simply the pairs of key-value in documents. Then MongoDB server converts these JSON documents into binary JSON or BSON documents that can be queried and stored more efficiently.
• MongoDB allows you to store nested data with which you can define complex relations between the data. Then you can store this data in a single document which makes fetching and working of data much more efficient than compared to SQL.
You may be confused while deciding whether to learn this technology or not. Below are mentioned some of the powerful features of this NoSQL database system that makes it learning worthwhile.
• Document Oriented
Unlike RDBMS where the data is stored in a tabular form, MongoDB stores the data in the form of documents. Inside these documents, the data is stored in fields making it more flexible. Also, each document contains a unique object id that makes it highly available and easily accessible.
• Schema-less Database: This is the most important feature of MongoDB. It is schemaless which implies that one
collection in the database can contain different types of documents in it. So, a single collection is capable of holding different kinds of documents. Also, a single document can contain a different number of fields, sizes, or content. In addition, the documents need not be similar to that in relational databases. This way, MongoDB makes the storage and access to data flexible.
• Scalability: with the help of sharding, MongoDB provides horizontal scalability. Sharding refers to the process of distributing data on multiple servers. When you need to store large amounts of data, you can divide it into smaller chunks by using the shard key. Then these chunks are distributed evenly across shards that are stored across different physical servers. You can also add new machines to a functional database.
• Indexing: when you store data in the form of documents, the fields are indexed with primary as well as secondary indices. With this indexing, it becomes easy to search data from the data pool and also takes very less time. Without indexing, it is time-consuming to search data from the database.
• Aggregation: with aggregation, this system allows you to perform operations on grouped data and get a computed or single result. Three different aggregations are provided namely the map-reduce function, aggregation pipeline, and single-purpose aggregation.
• Replication: With the help of replication, MongoDB provides redundancy and high availability. It creates several copies of data and forwards these copies to many servers and if one server slows down, it can be accessed from different servers.
• High Performance: The performance of MongoDB is excellent. All bows to its features including replication, aggregation, and indexing.
Benefits of using MongoDB
• It supports heterogeneous data
• It can easily be integrated with Big Data frameworks such as Hadoop
• It doesn’t need SQL injection
• It allows you to work with multiple documents ACID transition
• It can support Geospatial efficiently
• You do not need to design the schema of the database as it is a schema-less structure
Now that you have come across the features of MongoDB, you might have realized that it is essential to know how MongoDB works as it allows you to work with Big Data. if you wish to learn this database system, you can take up an online training course.
Some of the excellent resources such as that of Simplilearn enable you to go through all the aspects of MongoDB by making you work on real-life projects. Round-the-clock learning assistance and self-paced learning, training provided by industry experts make the course worthwhile.
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