MongoDB Tutorial for 2019 – Learn What is MongoDB?
1. MongoDB Tutorial
MongoDB is a numerous nonrelational database technology from the mid-2000s use in big data applications. This MongoDB tutorial is specially designed for the beginners, who are new to the IT industry and want to be a part of it.
Here, we will study what is MongoDB with NoSQL Database and it’s an introduction to the world of the existing database management system. Moreover, we will discuss MongoDB Features, History, applications and Installation process with some MongoDB example.
So, let’s start MongoDB Tutorial for beginners.
2. What is NoSQL Database?
Before starting MongoDB Tutorial, we must know about NoSQL. NoSQL or “non-SQL” a non-structured database. It provides a facility for storage and retrieval of data using fields. While in SQL the data stores in a tabular form. Companies are using a NoSQL database in big data and real-time applications. NoSQL offers “eventual consistency” so that it may not meet the real-time application requirements. Still, its use to merits over relational databases.
3. What is MongoDB?
MongoDB is an open source platform written in C++ and has a very easy setup environment. It is a cross-platform, document-oriented and non-structured database. MongoDB provides high performance, high availability, and auto-scaling.
It is a NoSQL database and has flexibility with querying and indexing. MongoDB has very rich query language resulting in high performance.
4. MongoDB Features
Here, in this part of the MongoDB Tutorial, we discuss some key features of MongoDB:
i. Ad-hoc Queries
MongoDB supports ad-hoc queries by indexing.
ii. Schema-Less Database
It is very flexible than structured databases. There is no need to type mapping.
iii Document Oriented
It is document oriented, JSON like a database.
iv. Indexing
Any document can index with primary and secondary indices.
v. Replication
It has this powerful tool. Every document has one primary node which further has two or more secondary replications.
vi. Aggregation
For efficient usability, MongoDB has aggregation framework for batch processing.
vii. GridFS
It has grid file system, so it can use to store files in multiple machines.
viii. Sharding
For the larger data sets sharding is the best feature. It distributes larger data to multiple machines.
ix. High Performance
Indexes support faster queries leading to high performance.
Follow this link to know more about MongoDB Features
5. MongoDB History
MongoDB was developed by a company named MongoDB Inc. formerly known as 10gen based in New York. The MongoDB was founded by Dwight Merriman, Eliot Horowitz, and Kevin Ryan in 2007. This trio was the team behind DoubleClick (now owned by Google). It was first developed as a platform as a service. It was then introduced in the market as open source database server in 2009 by MongoDB Inc. The company maintains the server and provides 24×7 email and call support. The first version of MongoDB is v1.4, which was released in March 2010.
6. MongoDB Applications
This part of MongoDB Tutorial covers, the Applications of MongoDB:
- In E-commerce product catalogue.
- Big data
- Content management
- Real-time analytics and high-speed logging.
- Maintain Geolocations
- Maintaining data from social websites.
Let’s discuss different Types of Data Types used in MongoDB
7. How to Install MongoDB?
MongoDB is available for Windows, Linux, and MacOS. You can download the setup directly from the MongoDB website. Download any version after checking the hardware requirements. MongoDB runs by commands in all three major OS. You have to select any folder at the time of installation.
This was all about MongoDB Tutorial. Hope you liked our explanation.
8. Summary of MongoDB Tutorial
Hence, in this MongoDB Tutorial, we studied what is MongoDB, what is NoSQL database. In addition, we see MongoDB features with MongoDB history. At last, discussed MongoDB applications and Environment setup.
Furthermore, if you have any query regarding MongoDB Tutorial, feel free to ask in a comment section.
Le didacticiel est léger. Il devrait aller plus en profondeur: Que fait Grids?