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NoSQL Databases

(45 Ratings)
NoSQL databases are different from standard relational databases because they don’t store information in tables. They are made to store both organized and unstructured data in a way that is flexible and scalable. NoSQL databases use different models, such as document, key-value, columnar, and graph, to handle different types of data and connections. They work best in distributed and fast-paced settings, but they may give up some consistency to improve their ability to scale and their speed. MongoDB, Cassandra, and Redis are all well-known examples.


Welcome to our complete program for learning about NoSQL databases! NoSQL databases have become a new way to handle large and diverse data sets in the ever-changing world of data management. Our training is meant to give you the information and skills you need to use NoSQL databases to their fullest potential and get more data flexibility than ever before.

Why do we need NoSQL databases?

NoSQL (Not Only SQL) databases store and control data in a way that is flexible and scalable. This lets organizations handle data that is structured, semi-structured, or not structured at all. Here are some reasons why NoSQL databases are so important in data-driven settings today:

Schema flexibility:

NoSQL databases can adapt to changing data models because they don’t have rigid designs. This makes it possible for data to evolve smoothly.


NoSQL databases are great for current applications and services because they can handle a lot of data and traffic.


NoSQL databases make it easier to access and retrieve data based on how it will be used. This makes query answer times faster.

Different Types of Data:

NoSQL databases can store different kinds of data, like text, JSON, graphs, time-series, and more.

The best parts of our training are:

Explore the different kinds :

Of NoSQL databases, such as document-based (MongoDB), key-value (Redis), column-family (Cassandra), and graph (Neo4j).

Learn how to create and model :

Data in NoSQL databases, considering schema-less structures and denormalization of data.

Data Retrieval:

Learn how to use document queries, key-value pairs, and graph traversal to ask questions about NoSQL systems.

Scaling Strategies:

Look into horizontal scaling and sharding to spread data across multiple clusters and improve efficiency.

Consistency and Availability:

 Know how data consistency and availability are traded off in distributed NoSQL systems.

Real-World Applications:

 Look into use cases in e-commerce, social networks, the Internet of Things (IoT), and real-time data.

Hands-On Projects:

Put what you’ve learned to use by doing real-world data-based tasks and projects.

Why Should You Take Our NoSQL Databases Course?

Expert Instructors:

Learn from database experts who share real-world tips and the best ways to do things in the business.

Hands-On Learning:

Gain practical experience through interactive labs, simulations, and hands-on projects.

Industry Relevance:

Acquire skills aligned with current security trends and best practices.

Career Growth:

Security testing is a high-demand skill, offering opportunities in cybersecurity, quality assurance, and IT.

Flexible Learning Formats:

 Choose from online self-paced courses or live instructor-led sessions to suit your schedule.

Those who should go:

  • Data Scientists and Database Managers
  • Software developers are looking into how to use NoSQL
  • IT professionals who want to get better at managing data
  • Anyone who wants to use the power of NoSQL systems can do so

Why Choose Checkmate IT Tech?

If you want to find training providers who offer ongoing support and tools to help you do well on your journey with NoSQL Databases. Checkmate IT gives a full introduction to NoSQL databases that covers both the theory and the real world. Some of these are access to trainers, online communities, practise tasks, and help with finding a job. Checkmate IT Tech has training choices that work with your schedule and how you like to learn.


  • Learn why NoSQL databases are important.
  • Document, Key-Value, Columnar, and Graph are the four types of NoSQL databases.
  • Relational databases and NoSQL: Pros and Cons
  • Document-based databases, like MongoDB and Couchbase, are explained here.
  • Modelling data and making schemas in document databases
  • CRUD Operations and Queries on Document Databases
  • Key-value databases, such as Redis and Amazon DynamoDB, are described here.
  • Using Key-Value Stores to Handle Data
  • Key-value databases can be used to improve caching and performance.
  • Columnar databases, such as Cassandra and HBase, are described here.
  • How Columnar Databases Store and Get Data
  • Columnar databases can grow and be spread out.
  • Graph databases, like Neo4j and Amazon Neptune, are described here.
  • Graph data modelling and queries
  • Uses of Graph Databases in Social Networks, Recommendations, etc.
  • Things to think about when picking a NoSQL database
  • Data modelling for NoSQL databases
  • Combining NoSQL and Relational Databases is an example of a hybrid approach.
  • Consistency, Availability, and Tolerance of Partitions (CAP Theorem)
  • Strong Consistency vs. Consistency That Comes and Goes
  • Getting NoSQL databases to be consistent and available
  • Plans for copying data in NoSQL databases
  • Using horizontal partitioning to make it easier to scale
  • Using Replicas and Shards to Make Data Highly Available
  • How NoSQL databases are protected
  • Authorization, Authentication, and Encryption
  • Making sure data is correct and safe in NoSQL environments
  • Guided hands-on projects: Using NoSQL databases to build applications
  • Presentations by students and a review of the law
  • Review of the main ideas and lessons
  • Discussion of Resources and Other Ways to Learn
  • Certificates for finishing a course

Career Transition


  • How to design data for NoSQL
  • Understanding NoSQL concepts (Document, Key-Value, Column-Family, and Graph)
  • How to Choose the Best NoSQL Database for a Use Case
  • How to ask questions about NoSQL databases, such as MongoDB Query Language
  • Create, Read, Update, and Delete (CRUD) Operations
  • Strategies for indexing
  • Consistency Models for Data
  • Copying and splitting
  • How to Grow NoSQL Databases
  • The best practices for NoSQL security
  • Strategies for Backup and Recovery
  • Tuning up the performance of NoSQL
  • Moving data to or from NoSQL databases
  • Taking care of a lot of data
  • Keeping an eye on and taking care of NoSQL databases

Meet Your Mentors

Marie Jane

Maria Jane is an experienced database architect who has worked with NoSQL systems for more than a decade. She was one of the first people to create and set up complex distributed databases for global e-commerce platforms, making sure they were always available and could grow as needed. Maria knows how to use MongoDB, Cassandra, and Redis, among other NoSQL systems. Course Insights: Marie will teach to help prospective developers understand how complicated NoSQL systems can be. Join Marie's course to learn how to use NoSQL databases to their full potential and build strong, modern apps.

Amir Khan

In the NoSQL environment, Amir Khan is known as a thought leader. He has spent the last eight years coming up with new ways for big businesses to model and manage their data. Amir's knowledge isn't just limited to teaching the technical side; he also explains the ideas behind NoSQL databases and how they are different from traditional relational databases. Training Insights: Amir's course teaches you how to choose the right NoSQL database for your projects and improve its performance by focusing on use cases and real-world apps.

Ethan Miller

Ethan Miller is a software engineer and entrepreneur who has used NoSQL databases to make applications that change the way things are done. Ethan has worked in both software development and business planning, so he can teach with a broader viewpoint view. He has set up NoSQL solutions to make it possible to do advanced analytics, handle data in real time, and give each user a personalised experience. In Ethan's course, he doesn't just talk about the technical parts of NoSQL. He also talks about how these databases can drive innovation and change businesses. Join Ethan to learn a lot about how NoSQL affects IT landscapes today.

Program Fee

Total Admission Fee

Admissions are closed once the requisite number of participants enroll for the upcoming cohort. Apply early to secure your seat.

"Begin your journey with a 20% upfront payment, and our dedicated associate will guide you through the enrollment process."

Career Services By Checkmate IT Tech

Placement Assistance

Placement opportunities are provided once the learner is moved to the placement pool. Get noticed by our 400+ hiring partners.

Exclusive access to Checkmate IT Tech Job portal

Placement opportunities are provided once the learner is moved to the placement pool. Get noticed by our 400+ hiring partners.

Mock Interview Preparation

Students will go through a number of mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.

One-on-one Career Mentoring Sessions

Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learner’s educational background, past experience, and future career aspirations.

Career Oriented Sessions

Over 10+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions that will help you stay on track with your upskilling.

Resume & LinkedIn Profile Building

Get assistance in creating a world-class resume & Linkedin Profile from our career services team and learn how to grab the attention of the hiring manager at the profile shortlisting stage

Frequently Asked Questions

NoSQL databases are a type of database that can store data in a fluid, scalable, and non-relational way. They are important for handling large amounts of unstructured or semi-structured data that may not fit well in standard relational databases.

No, you don’t need to know anything about databases before. Traditional relational databases and NoSQL databases have different structures and ideas, which makes NoSQL databases easier for newbies to understand.

Learning about NoSQL databases can help you improve your skills in data modelling, database design, querying, data storage, scaling, and understanding the different types of NoSQL databases.

A course on NoSQL databases usually covers topics like the different kinds of NoSQL databases (document, key-value, column-family, and graph), data modelling, CRUD actions, indexing, and how well the database can grow.

Even though there isn’t a standard certification for NoSQL systems, you can still look into certifications like the MongoDB Certified Developer Associate.

Yes, we do offer help after training to help you get a job. This help includes access to tools, chances to meet new people, help with making a resume, and help getting ready for an interview.

You can work on projects like making a blog platform with MongoDB to store data, building a recommendation system with a graph database like Neo4j, making a key-value store for user sessions, or planning a document-based data store.

Yes, NoSQL databases can be used along with traditional relational databases. This is especially true when you need to handle different types of data or scale for high-volume apps.

Learning about NoSQL databases can lead to jobs like Database Developer, Data Engineer, NoSQL Developer, and Big Data Engineer, as well as jobs in tech, e-commerce, social media, and other fields.