MongoDB is among the fastest-growing database technologies today and is the leading NoSQL database among several industries. Gain hands-on expertise needed to become a competent MongoDB Developer, with our immersive workshop and online learning sessions.
Our program is available in 2 formats, instructor-led live training for 16 hours and self-paced online learning for 29.5 hours. Both our modules offer over 2 hours of hands-on coding practice and 1.5 hours of practical assignments. We dive deeper than just theoretical and practical knowledge. Understand the what, why, and how of MongoDB with 5 hours of assessments. Cap your experience with 1 live project (2 hours) which will be reviewed by industry experts.
MongoDB is popular worldwide because of its ability to create scalable applications, is cost-effective, and benefits organizations with better data management strategies. Our courseware is aligned with the current business needs and features exercises that will help you gain practical expertise.
To maximize your learning efforts, our courseware has been split into several modules. You will begin with the MongoDB architecture and will learn how to perform CRUD operations. The next modules cover the various functions that are provided by Mongo to achieve complex functionality such as aggregate functions, indexing, and more. The progressing modules include the more critical aspects of Mongo such as sharing, replication, querying, and backups, followed by MongoDB security.
Get ready to learn all these concepts through examples, in our hands-on, reason-based learning style. By the end of the course, you will get an in-depth understanding of working on a MongoDB database.
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Why NoSQL is so powerful and what is MongoDB’s role in NoSQL Databases
What is a Client Server Architecture and what is MongoDB’s role in an N-Tiered Architecture
Understand the Logical and Physical Components of MongoDB Infrastructure
Master working with Collections and MongoDB Documents
Excel at performing CRUD Operations against huge data in a NoSQL Database
Explore the in-built functions in Mongo DB
Gain in-depth knowledge of MQL and work extensively with BSON data
Build Complex BI Reports and Analytics reports using Aggregation Framework
Master working with complex reads over a cluster
Easily work with Heavy read operations over a scalable Mongo DB Cluster
Working with various MongoDB Drivers and Platforms
Skills of Sorting, Indexing, Sharding, and Partitioning Data from a NoSQL Perspective
Effortlessly work on Query Optimizations and Import/Export Operations on MongoDB
Integrate MongoDB with NodeJS, Java, and Python frameworks
Immersive hands-on training with a combination of theoretical learning, practical exercises, group discussions, assignments, and intensive Q&A sessions.
Get Mentored by Industry practitioners having more than 10 years of experience.
Get reviews and timely feedback on your assignments and projects from professional developers.
We emphasize on learning the concepts through examples and help you in building a portfolio of projects through the course of training.
Free lifetime enrolment into any of the upcoming batches to help you refresh the concepts.
Ask questions, get clarifications, and engage in discussions with instructors and other participants.
Mongo DB eLearning is a web-based training that you can explore at your own pace. The courses are interactive and designed to help you learn Mongo DB, regardless of your skill level, and curated to the roles in your organization.
Learners get both conventional and video-based learning options to experience an immersive and effective learning environment.
Learn through small capsules, with bursts of training material that can be readily comprehended, including short videos, flashcards/summary cards, and so on
Learning outcomes based on the knowledge/skills learners need to do their jobs better.
Get the best of learning with real-life scenario-based assignments and case studies. See the outcome of your skills and their application first-hand.
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.
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.
Learn the various data modeling schemas, and all about designing Data Models for schemas with the tree structure, with scenario-based examples.
Learn how to perform sorting, limiting records, indexing, and aggregation along with their syntax.
Understand Replication and Sharding, and how to create a Backup.
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.
List the types of API Drivers, and how to integrate MongoDB with Node.js, Java, and Python through demos.
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.
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:
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 ^
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:
MongoDB is a robust, flexible and scalable NoSQL database, factors that have made it extremely popular with organizations across sectors. Fortune 500 and Global 500 companies such as Disney, eBay and Facebook have adopted it for their social communications, analytics, content management, archiving and other activities. Our MongoDB course has been designed to help you learn the skills that will land you a job as a MongoDB developer. You will not only learn the basic and advanced concepts but will practically apply them to a project and get ready for the industry. The curriculum has been designed by industry experts who will make sure that you learn the skills that will help you on the job front.
According to statistics, MongoDB professionals can upto $266,629 on an average. This is more than enough reason for you to enrol in this course.
By the end of the course, you will have:
There are no restrictions but participants would benefit if they have elementary knowledge of any RDBMS, Core Java & Java Script.
Yes, KnowledgeHut offers this training online.
On successful completion of the course you will receive a course completion certificate issued by KnowledgeHut.
Your instructors are MongoDB experts who have years of industry experience.
Any registration cancelled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% deduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of written request for refund. Kindly go through our Refund Policy for more details: https://www.knowledgehut.com/refund
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