MongoDB is an open-source, cross-platform, document-oriented database system which is written in C++ programming language. MongoDB database allows several functioning such as insert, update, delete, query, projection, sort () and limit () methods, create and drop collection and many to list.
MongoDB is a document-oriented NoSQL database mainly used for high volume data storage.
MongoDB is a database which came into existence around the mid-year of the 2000s. It falls under the category of a NoSQL database.
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Despite having a similar functionality with the other NoSQL technologies, MongoDB has created a distinctive place for itself. How and why? Read below :
- Suitable for real-time analytics and processing massive amounts of queries
- Faster access to data as it uses internal memory for storing data
- Embedded documents and arrays reduce need to use expensive joins
- Ability to run over multiple servers
- The load is balanced automatically by keeping data in shards
- Failures are easily administered during failures.
MongoDB versus MySQL
Over a decade MySQL has enjoyed its supremacy as it was an inexpensive and widely used relational database management system for storing the structured data. However, with the advent of the digital age, the data has not remained limited to a single type but can be in any form and in massive amounts. MongoDB is one of the new age databases that solves some of the conventional issues.
How is MongoDB better than MySQL? Let’s compare these two technologies :
|Data Models||Many alternative data models||Relational database management system|
|Operations||Supports atomicity||A transactional relation datastore|
|Query Language||JSON query||SQL|
|Performance Enhancement by||Server-side scripting||Stored procedures implemented|
|Scalability||Highly scale||Not Scalable|
This tutorial is a quick tour of MongoDB operations and concepts. It covers the step-by-step installation of MongoDB framework on your system or VMware. While you start working in a professional environment, no organization teaches the installation process. Thus, it is a virtual tutor to help you successfully institute the software.
It further includes tutoring on data administration, aggregation, replication, sharding and working with indexes. Along with elementary conceptual knowledge, you gain an understanding of data models and document structure in MongoDB. Since it is an online tutorial, you can learn anytime from anywhere and on any of your devices-laptop, mobile phone, tablets. Our learning packages support both android and iOS, offering the ease of accession.
In the end, it focuses on imparting tips to using MongoDB as per data requirements and handling it when some failures or system crashes occur. It gives you the complete know-how of working with this contemporary yet popular database.
- Software Architects and System Administrators
- Database Professionals aiming to enhance their knowledge of database management
- Project Managers aspiring to learn and teach their teammates advanced ways of database management
- Entry-level programmers in Java, C++, Python, keen to add an advanced learning course to their Resume for jobs in top MNCs
- Graduates keen to add an advanced learning course to their Resume for jobs in top MNCs
- The best thing about opting for this tutorial is that you need not learn any big data processing and related technology in advance.
- It’s just your database concepts that can help you time and again while going through Intellipaat’s content-rich tutorial.
- You can relate the explanations as and when you apply it to real-time projects.
MongoDB Tutorial Video
Table of Contents
Introduction to MongoDB
What is MongoDB?: Basically, MongoDB is a NoSQL database that is used to store high-volume data. Around the year 2000, it came in the light. It is written in C++ programming language, which makes it a highly scalable and performance-oriented database. It works on the concept of collection and documentation. When you look at the data storage, you will find Read More
Downloading and Installing MongoDB on Windows
Installing RoboMongo for MongoDB: MongoDB Setup There are a total of eight steps that we will follow to install MongoDB. These steps will start with how to download MongoDB. Afterwards, we will look at how to install MongoDB. Before diving into our tutorial, let’s have a look at the topics that we are going to cover in this tutorial: Steps to Follow to Install Read More
MongoDB CRUD Operations
CRUD operations: imply to the fundamental operations supported by MongoDB, which are Create, Read, Update, and Delete. Take a look at each of these operations below - Create operation - Create operation or Insert operation are used to add new documents to the collection and if the collection does not exist, it creates one. Following command can insert Read More
Database Creation Using MongoDB
What is a Database Command?: Database commands are like helper functions that allow us to write/send the data to the database. These commands are also used to modify the structure or documents that are present inside the database and helps in MongoDB create database. We will look at some important commands which are MongoDB sort command, MongoDB find command, etc. Read More
How does MongoDB store data?: MongoDB stores data in the form of BSON -Binary encoded JSON documents which supports a huge rich collection of types. Namely Fields in BSON documents may hold arrays of values or embedded documents as requirement. In MongoDB the data base construct in such a way as a group of related collections. Each database has a Read More
What is Administration in MongoDB? : The administration documentation addresses the ongoing operation and maintenance of MongoDB instances and deployments. This documentation includes both high level overviews of these concerns as well as tutorials that cover specific procedures and processes for operating MongoDB. Watch this MongoDB video [videothumb class="col-md-12" id="5Y4W6pVbUDQ" alt="Azure Tutorial For Beginners" title="Azure Tutorial For Beginners"] 5.1 Administration Concepts Read More
How does security in MongoDB work?: Security of data is paramount and therefore it is very much important to exercise control over access to the database. Though there is a long list of ways in which you can do this, but some of the important tips to help you secure your data are mentioned below : Do not connect your Read More
what is Aggression Operation in MongoDB?: Aggregation operation process the data records and provide the outcomes after computation. Able to perform a variety of operations, Aggregation operations combine the values from various sources and group the outcome into a single result. Aggregate () method This method is used to perform aggregation operations using following command - >db.COLLECTION_NAME.aggregate(AGGREGATE_OPERATION) Pipeline concept Read More
Role of Indexes in MongoDB: Indexes provide high performance read operations for frequently used queries. It includes indexes in MongoDB, describes the types and configuration options for indexes, and describes special types of indexing MongoDB supports. The section also provides tutorials detailing procedures and operational concerns, and providing information on how applications may use indexes. Basically the indexes in MongoDB Read More
What is Replication in MongoDB?: Replication is the procedure of synchronizing the data across different servers. This feature increases data availability and provides redundancy. It secures the database from significant failure due to server downtime. Not only this, Replication helps recover the database from a system failure by keeping additional copies of data. MongoDB uses replica set which is a Read More
What is Sharding?: Database Sharding is considered to be the horizontal partitioning of a database or the search engine where each partition is called as a Shard. This is a process of compressing the data collections by splitting the database instances across multiple databases. This in turn fastens the speed of MongoDB CRUD operations. MongoDB creates Shard keys which distribute Read More
Tips for MongoDB
MongoDB Best Practices: Tip 1: Normalize if you need to future-proof data Normalization “future-proofs” your data: you should be able to use normalized data for different applications that will query the data in different ways in the future. This assumes that you have some data set that application after application, for years and years, will have to use. There are Read More