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Learn at your own pace with 65 on-demand videos, 8 sets of flashcards and 8 interactive eBooks.
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Test your subject matter comprehension with auto-graded assessments and reinforce your learning with recall quizzes.
While you learn, build and deploy real-world projects that you can speak about in job interviews.
Benefit from the limitless educational possibility that comes with lifetime access. The entire courseware and all the features of our immersive learning experience platform will remain at your fingertips for whenever you wish to refresh concepts and clear your doubts.
Build real-world projects in a preconfigured development editor inbuilt into your learning space and practice with guided hands-on exercises.
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Contextual learning crafted around real-world problem-solving in tech companies.
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Achieve skill-based outcomes from our state-of-the-art immersive learning experience platform.
Get a quantified view of your team’s skills and put the right people on the right jobs.
Contextual learning crafted around real-world problem-solving in tech companies.
Get the best of both worlds with live instructor-led training and the flexibility of e-learning.
Learn from the real-world experience of globally renowned and accredited industry experts.
Talk to a Learning Advisor to level up your team's web development skills.
Get introduced to the NoSQL Database and its types and understand the purpose of MongoDB and the file format of BSON. Learn how to install MongoDB in Windows, Linux, and MAC OS.
Topics:
Learning Objectives:
Learn the database fundamentals of MongoDB and how the architecture works. Learn about the collection, documents, and their structures, and _id field. Go on to list the various data types and learn about Mongo Shell.
Topics:
Hands-on:
Learning Objectives:
Learn how to insert and query data and also update and delete data as required. You will additionally understand how to update or delete documents and drop a collection.
Topics:
Hands-on:
Learning Objectives:
Learn the various data modeling schemas, and all about designing Data Models for schemas with the tree structure, with scenario-based examples.
Topics:
Learning Objectives:
Learn how to perform sorting, limiting records, indexing, and aggregation along with their syntax.
Topics:
Hands-on:
Learning Objectives:
Understand Replication and Sharding, and how to create a Backup.
Topics:
Learning Objectives:
Learn to perform Backup and Restore operations. Get to know the purpose of export and import operations, and how to conduct them with a demo. Understand the purpose of monitoring resource utilization and query optimization and how to perform it, and also get a basic understanding of security concepts in MongoDB.
Topics:
Learning Objectives:
List the types of API Drivers, and how to integrate MongoDB with Node.js, Java, and Python through demos.
Topics
The MongoDB Developer workshop at KnowledgeHut is delivered through PRISM, our immersive learning experience platform, via two modes of delivery:
Blended learning:
On-Demand Self-Learning:
Learn conveniently at your own pace, whenever and wherever you choose. Spend as much time as you need to on areas or topics that you find most difficult, pausing and replaying relevant segments of video as often as you need to. Benefit from the limitless educational possibility that comes with lifetime access. The entire courseware and all the features of our immersive learning experience platform will remain at your fingertips whenever you wish to refresh concepts and clear your doubts.
The MongoDB Developer course is delivered by leading practitioners who bring current best practices and case studies from their experience to the live and interactive training sessions. The instructors are industry-recognized experts with more than 10 years of experience in MongoDB and web development.
Not only will they impart knowledge of the fundamentals and advanced concepts, but they will also provide end-to-end mentorship and hands-on guidance on the real-world projects.
Our workshops are structured in three parts – pre-workshop, workshop and post-workshop – to provide you with a completely immersive learning experience. This tried and tested workshop structure has worked well with thousands of engineers we’ve helped upskill over the years.
A unique feature of our MongoDB Developer course is the highly engaging, immersive learning you experience. You get to learn, practice, assess, get insights on your learning, and personalize your learning journey.
PRISM is KnowledgeHut’s state-of-the-art learning experience platform. PRISM is designed to provide a highly engaging, immersive learning experience with you at the center of the learning. Key features of the platform include:
Our MongoDB Developer workshops are currently held online and anyone with a stable internet from anywhere across the world can benefit from this to skill up in MongoDB.
Schedules for our upcoming workshops in MongoDB Developer can be found here - https://www.knowledgehut.com/web-development/mongodb-developer-course
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 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 200 to 300 hours of access to the Cloud labs where you can perform all your assignments and projects including the capstone project.
Post the training, you will retain access to the platform, the learning material and any unutilized hours on the Cloud labs. The entire courseware and all the features of the platform, along with the unutilized hours will be available to you for life.
Should you need additional hours of practice on the Cloud labs, these will be available for purchase as well.
We currently use the Zoom platform for video conferencing and will soon be adding more integrations with Webex and Microsoft Teams. However, all the sessions and the recordings will be available right from within our learning platform. Learners will not need to wait for any notifications or links or install any additional software.
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.
Yes, there are other participants who actively participates 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.
Unlimited number of attempts are permitted for quizzes. Assignments can be retaken for the specified number of attempts.
Should you have any more questions, please email us on support@knowledgehut.com and we will be happy to get back to you.
At KnowledgeHut, we always strive to maintain the highest standards of quality, so that your learning experience with us is beyond reproach. However, if for any reason your expectations are not met, please note our Cancellations and Refund policy as follows:
Note: All refunds will be credited back to your account within 10-15 business days of the refund request.
Yes, you can switch your start date with prior notice of at least 24 hrs and subject to availability in the desired batch.
Is there a money back guarantee for the training programs?
Yes, we have a 100% money-back guarantee in line with our Cancellations and Refund policy as follows:
Note: All refunds will be credited back to your account within 10-15 business days of the refund request
Yes, we have scholarships available for students and veterans with grants that can vary up to 50% of the course fees.
To avail scholarships, please get in touch with us at support@knowledgehut.com. The team shall send across the forms and instructions to you. Based upon the responses and answers that we receive, our panel of experts take a decision on the Grant. The entire process could take about 7 to 15 days.
By registering in groups, you can save up to 30% on the course fees. The discount you can avail will depend on your group size.
Yes, installment options are available for payment of course fees. To avail the installment option, please get in touch with us at support@knowledgehut.com. The team will explain how the instalments work and provide timelines for your case.
Usually, the number of installments vary from 2 to 3, but the full amount must be paid before you complete the course.
Here are some of the reasons why you should learn MongoDB:
MongoDB and Cassandra are both “NoSQL” databases, but they vary significantly. Here, we discuss some of the differences that can help to choose either of the two databases according to specific requirements.
MongoDB: The data model of MongoDB is object-oriented, and the objects and properties can be nested at multiple levels hence giving an expressive data model that can be used to represent any object.
Cassandra: The data model is similar to the traditional model with rows and columns with the data represented in a structured way.
In comparison to Cassandra, MongoDB provides a rich data model.
MongoDB: It is easy to index any property of the data because the secondary indexes are the first-class construct in MongoDB. This makes it easier to query even if the objects are nested.
Cassandra: It provides only cursory support for secondary indexes which are again limited to single columns. Cassandra is a good choice if you want to query using a primary key.
MongoDB: It currently has no support for the query language. MongoDB has a Javascript shell and it stores records as documents in JSON format.
Cassandra: It is similar to the relational database but is column oriented. It also provides JSON support, but it has its own query language called CQL which is similar to SQL.
Therefore, Cassandra is a better fit if you require a query support language.
MongoDB: It supports a single master node model which only accepts writes on the primary server. The secondary servers are used for reads only. This limits the scalability.
Cassandra: It has multiple master nodes and hence it can take writes on any server.
Therefore, Cassandra is more scalable than MongoDB.
The latest version of MongoDB is 4.2 that was released on August 13, 2019. The latest minor release version is 4.2.7 that was released on May 26, 2020.
MongoDB Inc. is an American software company that was first established in New York in the year 2007 as 10gen, and the founders of this company are Kevin P. Ryan, Eliot Horowitz, and Dwight Merriman. MongoDB is a NoSQL based open-source database.
MongoDB is an open source database platform which uses JSON like documents and is a NoSQL database program. Here is why you should learn it in 2020:
The intention of the MongoDB Inc. company was to build a completely open-source platform as a service. The company was formerly known as 10gen and the platform it was working on was named Babble, but it didn’t have a great market value. So, both the users and non-users decided to use the database created by the company to use it on its own. The database was named as MongoDB where Mongo is short for the word humongous. MongoDB was released as an open-source database platform in 2009.
You can get certification and training in MongoDB through MongoDB University. Many companies like Amazon, eBay, Cisco, and Disney are turning to NoSQL databases. Therefore, a certification in MongoDB can help you stand apart from the rest. Currently, the company offers two tracks mentioned below:
Database Administrators or DBAs: They deal with managing MongoDB that includes runtime configurations, sharding, processes, backup, recovery, monitoring, and performance tuning. The target audience includes professionals with some experience in administering in this database environment. Some of the prerequisites include:
Database developers: They are developers with knowledge of one or more programming languages. It only has an Associate level credential. The target audience includes software engineers with some professional experience in developing applications built on MongoDB and knowledge of database concepts, JavaScript, and system programming. The topics listed for the developer exam includes:
The exams cost $150 each and are conducted online through the company’s proctoring partner, Examity. It is a 90 minutes long exam and there is no penalty for incorrect answers. There are three levels of certifications defined for each role: Associate, Professional, and Master but currently, only the Associate level is available for each role.
MongoDB and SQL vary in the way they handle data.
SQL is a Relational Database Management System language. The data is stored in tables. The SQL Server uses an RDBMS based storage model. It does not provide Agile practices and has a fixed data schema. It has vertical scalability hence increases RAM. SQL provides secondary indexing. It also provides XML support and is licensed hence is not open source. You can merge data from multiple tables using joins, which is not available in MongoDB. SQL supports global transactions. It emphasizes ACID properties, that is, Atomicity, Consistency, Isolation, and Durability.
MongoDB is a non-relational database that supports the JSON query language. It uses MongoDB query language for access. It is faster and more scalable than SQL. It is not a table base rather; it is based on collections and key-value pairs. It does not provide support for foreign keys and triggers. MongoDB provides a dynamic data schema. It has no provision for joins and does not support XML. It is open source, so it is free to use. MongoDB supports Agile practices. It is the best-fit for hierarchical data storage and is horizontally scalable therefore adding more servers. It supports a huge amount of data as compared with SQL. MongoDB is based on CAP theorem that is, Consistency, Availability, and Partition tolerance.
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:
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.
It depends on two factors: the knowledge and skills you already possess and how deep you desire to get into this. If you are a good developer and have some experience in working with similar applications, install MongoDB and start from basics like import/export commands. If you have some hands-on experience with JSON, it will be an added benefit.
There are many resources available online to help you get started with MongoDB.
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:
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:
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.
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.
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.
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 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:
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:
MongoDB is easy to learn. The best part is that the company has provided many tutorials on its website. There are a lot of community forums and groups available to discuss your issues. You can also get a certification at a reasonable cost that will help you boost up your profile. The popularity of MongoDB has made it an ideal criterion for recruiters. It is also easy to learn since you can apply your prior knowledge and experience to learn MongoDB. Like, if you are familiar with JSON, you need not learn SQL. Knowledge of programming languages is an added benefit.
The top features of MongoDB are as follows:
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