MongoDB Developer Certification Training

Schedules for our upcoming workshops in Web Development Using MongoDB can be found here.

You will receive a registration link from PRISM to your e-mail id. You will have to set your password, log in to our Immersive Learning Experience platform and start your learning journey.

Software Requirements:

• Mongo DB Community Edition.
• Mongo DB Server

System Requirements:

• Any workstation or laptop with at least 8 GB of RAM

Yes, Cloud/Practice Labs in a preconfigured development editor inbuilt into your learning space will be available for your guided hands-on exercises, assignments and practice during and post the MongoDB Developer training.

The playground labs are low-friction sandbox environments, offering the ability to get started without any installations in your local system. We have tried hard to ensure that practice labs simulate the developer experience. These in-browser solutions feature environments for working with all kinds of platforms including operating systems, coding languages, and more.

The goal is to provide you with sandbox environments where you can feel free to run any command and experiment without the guidelines of a typical lab. The end goal is to increase the amount of practical, real-world experience you gain to get you completely work-ready on course completion.

You will be granted 100 hours of access to Cloud Labs to perform all your hands-on exercises, assignments, and projects including your final capstone projects. Post the training, you will retain access to the platform, the learning material, and any unutilized hours on the Cloud Labs for a period of six months.

Practice is key to taking your coding skills to the next level. Should you need additional hours of practice on Cloud Labs, these will be available for purchase. Just raise a ticket on PRISM or write to us at [email protected] and we'll set this up for you.

You will have lifetime access to the entire Self-Paced Learning material including on-demand videos, assessments, quizzes, ebooks/case studies and more.

You can attempt the recall quizzes any number of times. Assessments can be taken twice.

We currently use the Zoom platform for video conferencing and will soon be adding more integrations like Webex and Microsoft Teams. However, all the sessions and the recordings will be available right from within our learning platform. Learners will receive instructions through PRISM notifications and will not need to wait for any external notifications or links.

Yes, there are other participants who actively participate in the class remotely. They can attend online training from office, home, or any other suitable place.

In case of any queries, our support team is available to you 24/7 via the Help and Support section on PRISM. You can also reach out to your workshop manager on your workshop group messenger.

If you miss a class, you can access the class recordings from PRISM at any time. At the beginning of every session, there will also be a 10-12 minute recapitulation of the previous class.

Should you have any more questions, please raise a ticket on PRISM or email us on [email protected] and we will be happy to get back to you.

MongoDB is a NoSQL database that stores the database in the form of JSON documents. We start by installing MongoDB on our PC. There are several variants based on development needs. These variants are as follows:

• MongoDB Atlas
• Community server
• MongoDB Enterprise Edition

All three are compatible with every operating system. You must first download the installation files according to your operating system. The installation methods for different operating systems are different. Here, we discuss the installation method in Windows and macOS.

Installation in Windows:

You must download an executable .msi package for installing MongoDB into Windows. Execute the following commands for installation:

> cd /setup-folder/
> msiexec.exe /q /i .msi ^
INSTALLLOCATION=”C:\Program Files\MongoDB\”
ADDLOCAL=”MonitoringTools,ImportExportTools,MiscellaneousTools”

These commands will take you to the specified directory. After installation, you need to configure the default database storage path for MongoDB using the following command:

> md \db\data

Installing in macOS:

Download the .tgz file which contains the necessary binaries. Unarchive the files, you can see a collection of binaries located in the bin folder. Move the bin folder to the required location. Open the directory and change the directory to the bin directory. Execute the following command to create a database in that location:

$ ./mongod --dbpath /path-to-desired-directory/

In this command, you must replace the directory path with the desired path and the server will be started when this command is executed.

Creating the first collection: The data is stored in the form of JSON documents which is collectively termed as collections. These collections are analogous to tables in RDBMS and the documents are analogous to records. In order to create a collection, we must first create a database and connect it to a command line. You need to execute the following command:

$ ./bin/mongo tutorial

This command will connect to the tutorial database and start the database simultaneously. You can notice some lines in the log to specify that the command line is connected to the database.

Execute the following command to create a collection:

$ > db.createCollection(‘Collection Name”);

This creates an empty collection. We will insert data into this collection and perform some operations in this data.

MongoDB is one of the top NoSQL databases which has been the most important factor for its popularity. Some of the reasons why MongoDB is so popular are as follows:

1. It is schemaless and hence flexible. It is a document-oriented database that can hold different sizes and types of documents.
2. It is open-source and very easy to install and work with.
3. No complex joins are needed because the data structuring is based on key-value pairs.
4. With the growth of MEAN stack development, MongoDB like databases became more popular since the JavaScript developers can work from the front-end to the database.
5. MongoDB can handle large volumes of data by offering excellent analytics capabilities.
6. It has a very flexible data model and it is very convenient to add or change the fields.
7. It provides an easier way of load balancing.
8. It uses internal memory for storage and hence provides faster access to data.
9. MongoDB has an efficient scale-out architecture.
10. It supports dynamic queries on documents.
11. It is easy to scale.
12. It supports Agile sprints and quicker iteration.
13. MongoDB supports sharding due to which makes it horizontally scalable thus adding more servers.
14. It is the best choice for hierarchical data storage.

MySQL is a Relational Database Management System that stores data in tables, and it uses SQL to access data from the database. On the other hand, MongoDB is a NoSQL database that stores data in the form of JSON documents and it uses MQL (MongoDB Query Language) to access data.

The main differences between the two are as follows:

• Performance and speed

MongoDB can handle a large amount of unstructured data as compared to MySQL. The flexibility MongoDB offers with JSON documents makes it faster for development processes as compared to rigid rows and columns in MySQL. It makes it easier for the developers to optimize the query performance since the data is stored in a single document and is not distributed over a relational database. Data can be structured within arrays and subdocuments in the same way as data is represented in applications unlike the tabular arrangement of rows and columns in MySQL.

• Schema model

The schema design in MongoDB is very flexible. You can add documents in any collection without establishing any relationship with other documents just by just considering supported data structures. The schema model in MySQL is not dynamic and you need to store data in predefined tables that make it rigid.

• Scalability

MongoDB supports sharding data across multiple nodes which facilitates load balancing. MongoDB is horizontally scalable and hence facilitates adding a greater number of servers. You need not make application-level changes in order to migrate data to larger servers. Whereas, you need to be careful while using JOINs in MySQL in order to distribute data over multiple nodes.

• Higher availability

MongoDB can automatically detect failures in case your database goes down. It elects a new primary node and replaces the malfunctioning node with the new node and normal operation is resumed within a few seconds. This is a manual process in the case of MySQL and therefore takes a longer time. Replication of data in MongoDB makes the data easily available for developers.

• MongoDB is an open-source, non-relational database management system that uses JSON documents to store data whereas PostgreSQL is a relational database management system that stores data in tables and uses both static and dynamic schemas to store and use data.
• If you require to distribute a large volume of data over multiple data, then MongoDB is a better choice since PostgreSQL uses monolithic data architecture.
• In the case of PostgreSQL, you need to predefine the tables, but MongoDB allows you to manage data of any type and structure.
• In MongoDB, data is accessed through documents whereas, in the case of PostgreSQL, data is accessed through rows.

MongoDB is a document-oriented NoSQL database that can handle large volumes of data and is written in C++. The data is stored in JSON-like documents which makes it very flexible as you can add different kinds of fields and structures. The documents can be accessed using key-value pairs. MongoDB offers many features that make it easy to use. The data is stored in documents that are stored in collections. The documents can be of different sizes and different kinds of contents can be added.

MongoDB provides replica sets that ensure higher availability. This also ensures to automatically replace a failed primary replica with a secondary replica. It is highly distributed and provides horizontal scaling thus facilitates adding more servers. It splits data over multiple instances. This is also called sharding and is a very important feature of MongoDB.

MongoDB is an open-source document-based database written in C++ and can handle a large volume of data with a dynamic schema. There are many reasons why MongoDB is a great choice as a database, some of which are as follows:

• Higher data scalability
• Easy data migration
• Rapid iterative development
• Scale-out architecture
• Document-based database that allows variation in the structure and size of documents stored.
• Increased performance since data can be searched and indexed easily in Binary JSON format (BSON).
• MongoDB can be used from a variety of programming languages like C, Java, JavaScript, Perl, Python, .NET, Ruby, Scala, C++, and C#.
• MongoDB supports database transactions.

MongoDB is the best choice when your data is unstructured and complex, and you have a dynamic schema. MongoDB is a good choice for the following applications:

• Blogs and content management.
• Reducing the data migration cost.
• Fast and instant data recovery.
• If most of your services are cloud-based.
• Social networking sites.

The top features of MongoDB are as follows:

• Aggregation framework
• Document oriented
• Load balancing
• Easy and fast replication
• Data availability
• MongoDB ad-hoc queries
• MongoDB sharding
• Schemaless database
• Dynamic data size and structures
• Supports multiple storages engines
• Geospatial indexing
• Tracking of data services using MongoDB Management Services.