NoSQL Databases Course info
Unlock the Power of NoSQL & MongoDB with Industry-Leading Training in Bangalore
In today’s data-driven world, NoSQL databases like MongoDB are revolutionizing how enterprises manage massive-scale data—from real-time analytics to AI-driven applications. At Cambridge Infotech, we bring you Bangalore’s most comprehensive, hands-on NoSQL and MongoDB course, designed by industry experts to transform you into a highly skilled NoSQL professional.
Why Cambridge Infotech is Bangalore’s Top Choice for NoSQL & MongoDB Training
Industry-Expert Trainers
Learn from MongoDB-certified professionals with 10+ years of experience at companies like Amazon, IBM, and Flipkart. Our instructors don’t just teach—they’ve built scalable NoSQL systems for Fortune 500 firms.
Job-Focused Curriculum
Our course covers 100% of what employers want:
Real-time data modeling
Performance optimization & indexing
MongoDB Atlas (Cloud) deployment
3+ live projects (e-commerce analytics, IoT logging, etc.)
Highest Placement Record
92% placement rate within 3 months
₹6-18 LPA average salary for our NoSQL graduates
500+ hires at companies like Accenture, Wipro, and startups
Unique Learning Perks
Lifetime access to course updates
Mock interviews with HR managers from top IT firms
Who Should Take This NoSQL & MongoDB Course?
1. Career Changers & Beginners
Freshers looking to start a high-growth career in database technology
Non-IT professionals wanting to transition into tech (we start from basics!)
Students pursuing degrees in CS/IT who want industry-ready skills
2. Tech Professionals Seeking Upskilling
SQL Developers wanting to master NoSQL for modern applications
Full-stack developers needing MongoDB for MERN/MEAN stacks
Data Analysts transitioning to big data and real-time analytics
3. Corporate Teams & Enterprises
IT managers building NoSQL competency across teams
Startup tech teams implementing scalable database solutions
Tech leads standardizing MongoDB best practices
4. Future Job Roles This Course Prepares You For:
MongoDB Developer (₹6-15 LPA)
NoSQL Database Administrator (₹8-18 LPA)
Big Data Engineer (₹10-20 LPA)
Backend Developer (MERN/MEAN Stack)
Why Cambridge Infotech is Bangalore’s Top Choice for NoSQL & MongoDB Training
Industry-Leading Training Methodology
Learn-By-Doing Approach: 80% hands-on labs using real-world datasets from e-commerce, IoT, and social media platforms
Cutting-Edge Curriculum: Covers MongoDB 7.0 + Atlas Cloud + Compass with weekly content updates
Enterprise-Grade Projects: Build 3 portfolio-ready projects (including one capstone project with actual client data)
Unmatched Career Support
100% Placement Assistance: Our dedicated placement cell has tied-ups with 150+ tech companies
Salary Boost Guarantee: 83% of our graduates report 30-60% salary increases within 6 months
Exclusive Hiring Events: Quarterly recruitment drives with partners like Infosys, Accenture, and startups
World-Class Learning Experience
Google Cloud Lab Access: Practice 24/7 on enterprise-grade infrastructure
1:1 Mentorship Sessions: Weekly career guidance from senior MongoDB architects
Alumni Network: Join 2,500+ professionals in our exclusive tech community
Results That Speak for Themselves
4.9/5 average student rating (500+ reviews)
92% placement rate within 3 months
3x more interview calls reported by our certified students
100% Placements
How We Ensure Your Career Success
Dedicated Placement Cell
15+ years of industry connections with 200+ hiring partners
Exclusive recruitment tie-ups with MNCs like Accenture, IBM, and fast-growing startups
Proven Placement Track Record
92% placement rate within 3 months of course completion
Highest salary package: ₹18 LPA (2024 record)
Average salary hike: 65% for experienced professionals
End-to-End Career Support
Profile building with 3 real projects for your portfolio
5 mock interviews with tech leads from top companies
Resume workshops highlighting MongoDB-specific skills employers want
6 Powerful Reasons to Master NoSQL/MongoDB in 2025
1. Exploding Job Market
15,000+ active NoSQL job openings in India (Naukri 2024)
72% of Fortune 500 companies now use MongoDB (DB-Engines Ranking)
Bangalore alone has 4,200+ MongoDB roles with salaries up to ₹25 LPA
2. Future-Proof Career
NoSQL adoption growing 3X faster than SQL (Gartner 2024)
Essential for:
AI/ML data pipelines
Real-time analytics
IoT applications
Web3 and blockchain systems
3. Bangalore’s Tech Boom
40% of Indian tech startups use MongoDB as primary database
30% salary premium for NoSQL skills in Bangalore vs other cities
4. Easier Transition Than You Think
Our course helps you:
Migrate from SQL to NoSQL smoothly
Master MongoDB in just 8 weeks with hands-on labs
Get certified even with zero database experience
5. Industry Revolution
MongoDB now powers:
Swiggy’s real-time order tracking
Ola’s ride-hailing system
CRED’s financial transactions
6. Free Career Upgrade
Enroll now and get:
NoSQL for AI workshop (worth ₹8,000)
MongoDB Atlas credits for cloud projects
Placement guarantee with interview prep
Career Growth Path
We believe in making quality education accessible. Take advantage of our flexible EMI options to learn NoSQL databases without worrying about finances.
Upon successful completion, leverage our placement support to explore opportunities in the dynamic field of NoSQL databases.
The hourly breakdown is indicative and may vary based on the pace of the class and additional interactive activities. Practical exercises and hands-on projects should be incorporated throughout the sessions to reinforce learning.
NoSQL Databases Course Content
1.1 Definition of NoSQL: Overview of NoSQL as a non-relational database system.
1.2 Why NoSQL?: Advantages over traditional relational databases.
1.3 Use Cases of NoSQL: Scenarios where NoSQL databases are preferable.
2.1 Key-Value Stores: Databases like Redis; storing data in key-value pairs.
2.2 Document Databases: Examples include MongoDB; storing semi-structured data as JSON or BSON.
2.3 Column-Family Stores: Such as Cassandra; data organized in columns for analytics.
2.4 Graph Databases: Examples like Neo4j; storing data as nodes and relationships for graph-based queries.
3.1 Data Models: Comparison of relational and non-relational structures.
3.2 Query Language: SQL vs. NoSQL-specific query languages.
3.3 Scalability: Vertical vs. horizontal scaling.
3.4 CAP Theorem: Consistency, Availability, Partition Tolerance trade-offs.
4.1 Distributed Systems: Basics of data distribution and replication.
4.2 Eventual Consistency: Ensuring consistency in distributed environments.
4.3 Sharding: Partitioning data for scalability.
4.4 Replication: Techniques to ensure data availability.
5.1 Installation and Setup: Installing MongoDB locally or on cloud.
5.2 CRUD Operations: Creating, Reading, Updating, Deleting documents.
5.3 Indexing: Improving query performance with indexes.
5.4 Aggregation Framework: Using pipelines for advanced queries.
5.5 Data Modeling: Designing efficient document structures.
5.6 Replication and Sharding: Setting up and managing clusters.
5.7 Backup and Restore: Maintaining database availability.
6.1 Using APIs for NoSQL: Interacting with databases via programming languages.
6.2 Query Languages: Example: Cypher for Neo4j, CQL for Cassandra.
6.3 Performing Joins in NoSQL: Alternatives to relational joins in NoSQL.
6.4 Full-Text Search: Implementing text-based search in NoSQL.
7.1 Schema Design Best Practices: Ensuring scalability and performance.
7.2 Performance Tuning: Optimizing indexes, queries, and configurations.
7.3 Popular Use Cases: Examples from industries like e-commerce, IoT, and social media.
8.1 Build a Simple Application: Create a database for a sample application (e.g., e-commerce site).
8.2 Integrate NoSQL Database: Use a programming language like Python or Java to connect and query the database
