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MongoDB Course And Certification

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What is MongoDB?

MongoDB is a NoSQL, document-oriented database that is used for storing high volumes of data. MongoDB is a database that was developed in the mid-2000s. It is grouped under the category of a NoSQL database system.

MongoDB stores the data that is entered in a flexible document that is JSON-like, meaning that fields can vary from document to document and the data structure can be modified and changed over time. The document model in the database maps to the objects in your application code, therefore making data very easy to work with Ad hoc queries, database indexing, and real-time aggregation of data provides powerful ways to directly access and analyze your data.

MongoDB is a distributed database system at its core, so the high availability, geographic distribution, and horizontal scaling are in-built and very easy to use. MongoDB is a software that is free to use. The versions that are released prior to October 16, 2018, are released under the AGPL license. Then, all the versions of MongoDB that are released after October 16, 2018, which includes the patch fixes for preceding versions, are published under the Server Side Public License (SSPL) v1.

Components of MongoDB Architecture

1. Id: This is a required field in every MongoDB document. It represents a unique value in a MongoDB document. The Id field is like the document's primary key similar to SQL primary key field. The Id field is used to uniquely identify the documents in a collection and is automatically added by MongoDB when the collection is created.

2. Collection: A collection is the equivalent of a table that is created in any other RDMS such as MySQL, Oracle, or MS SQL. A collection exists within a single database.

3. Cursor: This is a pointer to the result set of a query. Clients can iterate through a cursor to retrieve results.

4. Databases: A MongoDB server can store multiple databases. The Database is a container for collections whereas in RDMS it is a container for tables. Each database gets its own set of files on the file system.

5. Document: A record in a MongoDB collection is basically called a document. The document, in turn, will consist of field names and values.

6. Field: A name-value pair in a document. A document has zero or more fields. Fields are similar to columns in relational databases.

7. JSON: This is known as JavaScript Object Notation. It is a human-readable, plain text format for expressing structured data, and is supported in many programming languages.

Features of MongoDB

There are many features of MongoDB and some of them are:

1. In MongoDB, each database is made up of collections which in turn are made up of documents. Each document can be contrasted with a varying number of fields. The size and content of each document can vary from each other.

2. The document structure of MongoDB is more in line with how the developers construct their model classes and objects in their desired programming languages. Developers will mostly say that their classes are not rows and columns but have a clear structure with the key-value pairs.

3. MongoDB as other NoSQL databases doesn't need to have a database schema defined beforehand. Instead, the fields can be designed on the go.

4. The data model that is available within MongoDB allows you to represent various hierarchical relationships of your application, to store arrays, and other more complex data structures more easily.

Benefits of MongoDB

There are many benefits of MongoDB, and some of them are:

1. Document-oriented: Since MongoDB is a NoSQL kind of database, instead of having data stored in a relational data type format, it stores the data in the forms of documents. This makes MongoDB very flexible, adaptable and the perfect choice for real business world requirements and situations.

2. Ad hoc queries: MongoDB supports various methods for searching by field, regular expression and range queries, searches. Database Queries can be made to return a specific field that is within a document or documents.

3. Indexing: Database indexes can be developed to improve the performance of the searches that are within MongoDB. Any field in a MongoDB document can be indexed to make queries faster.

4. Replication: MongoDB provides developers with high availability of replica sets. A replica set is made up of two or more instances of MongoDB. Each replica set member might act in the role of the primary or secondary replica at any given time.

5. Load balancing: MongoDB makes use of the concept of sharding to scale horizontally by dividing the data across multiple instances of MongoDB. MongoDB can operate over multiple web servers, therefore supporting the load and/or duplicating the data to keep the system up and running in the case of hardware failure.

Why Study MongoDB

1. Know the difference between structured query language(MySQL, MS SQL) and unstructured query language(MongoDB).

2. Free to use

3. Flexible and future-proof

4. Easy for developers to get started in

5. Cloud Support

6. Increase Your Earning Potential

7. Career Opportunities And Advancement

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