In today’s data-driven world, it’s rarely SQL or NoSQL—it’s both. This hands-on course is built for data engineers who want to integrate NoSQL databases like MongoDB or Cassandra with traditional relational systems. You’ll learn how to work with structured and unstructured data side by side, using APIs, ETL tools, and cloud-native services to build modern, flexible data pipelines that actually scale.
Day 1: NoSQL Fundamentals and Architecture
Session 1: Understanding NoSQL Models
Key-value, document, column-family, and graph models
When (and why) to choose NoSQL over traditional RDBMS
Session 2: Setting Up NoSQL Databases
Hands-on with MongoDB or Cassandra
CRUD operations, indexing, and schema design
Day 2: ETL Pipelines and Integration
Session 1: Designing ETL for Hybrid Systems
Moving data between SQL and NoSQL
Tools: Python scripts, Apache Airflow, cloud ETL platforms
Session 2: API-Driven Integration Workflows
RESTful API patterns for accessing NoSQL data
Data syncing strategies and real-time considerations
Day 3: Cloud Integration and Optimization
Session 1: Working with Cloud-Based NoSQL Services
AWS DynamoDB, Azure Cosmos DB, GCP Firestore basics
Security, scaling, and managed features
Session 2: Final Project and Design Review
Build a mini hybrid pipeline using Postgres + MongoDB
Review design trade-offs and performance tuning tips
We are open to customizing this program to align with your specific learning objectives. If your team has particular goals or areas they wish to focus on, we would be happy to tailor the course outline to meet those needs and ensure the program supports the achievement of your desired outcomes.
This course is for developers who want to get serious about building robust, scalable backend systems using Python and PostgreSQL.
In today’s data-driven world, it’s rarely SQL or NoSQL—it’s both.
This course is made for data professionals who want to go beyond running SQL queries and start designing structured, scalable, and analytics-ready data warehouses
This course is for AI practitioners and NLP enthusiasts who want to go beyond theory and get their hands dirty with cutting-edge transformer models.
This course is designed for developers who want to go beyond writing queries and start thinking like performance engineers.