Data Architect: SQL & NoSQL Ecosystems
Data is the heart of every application, and how you store it determines how well your application scales. This advanced course trains you to become a database architect who can design schemas that handle millions of records efficiently. Master PostgreSQL advanced features: jsonb columns, full-text search, window functions, CTEs, and query optimization. Learn MongoDB document design, aggregation pipelines, indexing strategies, and sharding for horizontal scaling. Understand Redis data structures beyond key-value: hashes, lists, sets, sorted sets, and streams. Study when to use which database: relational vs. document vs. key-value vs. graph. Learn transaction isolation levels, ACID vs. BASE, CAP theorem, and eventual consistency. Design schemas for specific use cases: e-commerce, social networks, time-series data, and geospatial applications. Master database performance: explain plans, index strategies, query optimization, and connection pooling. Implement database migrations, backups, and disaster recovery. Understand replication, partitioning, and multi-region deployments. By graduation, you will design databases that companies can scale from 1,000 to 100 million users.
Led by
Fotie M. Constant
Join the Cohort
Limited spots available for the next intake.
Next Cohort Starts
Wed, April 1, 2026
Women's Day Offer
Pay the application fee by March 31, 2026 to allow us to review your application and lock in this 20% tuition discount.
Fee required to secure your interview slot.
Weekly Live Sessions
Interactive zoom classes with Fotie M. Constant
Real-time Task Reviews
Get feedback on your weekly assignments
Community Access
Join the private discord for 24/7 support
What You'll Learn
Real-World Projects You'll Build
E-commerce Database
Design a scalable database for an e-commerce platform
Technologies:
Outcomes:
- →Optimized schema
- →Caching layer
- →Query optimization
- →Performance benchmarks
Social Media Backend
Build a database for a social network with posts, follows, and feeds
Technologies:
Outcomes:
- →Document design
- →Feed generation
- →Real-time updates
- →Scalable architecture
Analytics Pipeline
Create a time-series database for analytics and reporting
Technologies:
Outcomes:
- →Time-series schema
- →Real-time analytics
- →Aggregated reports
- →Data retention
Your Weekly Journey
8 weeks • Live FormatWeek 1Database Design Fundamentals
Master schema design and normalization
Topics Covered:
- •Normalization forms
- •Entity relationship modeling
- •Schema design patterns
- •Denormalization strategies
- •Database selection criteria
Week 2PostgreSQL Advanced Features
Leverage PostgreSQL power features
Topics Covered:
- •JSONB and document storage
- •Full-text search
- •Window functions
- •CTEs and recursive queries
- •Triggers and stored procedures
Week 3Query Optimization
Make your queries lightning fast
Topics Covered:
- •EXPLAIN and query plans
- •Index strategies (B-tree, GiST, GIN)
- •Query optimization techniques
- •Materialized views
- •Partitioning
Week 4MongoDB Document Design
Design flexible, scalable document schemas
Topics Covered:
- •Document modeling patterns
- •Embedding vs. referencing
- •Schema design for queries
- •Data consistency strategies
- •Schema validation
Week 5MongoDB Aggregation & Indexing
Build complex data pipelines
Topics Covered:
- •Aggregation pipeline stages
- •Complex aggregations
- •Index types and strategies
- •Query optimization
- •Atlas search
Week 6Redis Caching Strategies
Implement high-performance caching
Topics Covered:
- •Redis data structures
- •Caching patterns (cache-aside, write-through)
- •Cache invalidation
- •Session storage
- •Real-time features with Streams
Week 7Transactions & Consistency
Handle data consistency and transactions
Topics Covered:
- •ACID transactions
- •Isolation levels
- •Distributed transactions
- •Eventual consistency
- •Saga pattern
Week 8Scaling & Production
Scale databases and manage production systems
Topics Covered:
- •Replication strategies
- •Sharding and partitioning
- •Backup and recovery
- •Monitoring and alerting
- •Multi-region deployments
Capstone Projects
Apply everything you've learned in real-world projects
Skills You'll Master
Job-Ready Guarantee
Our curriculum is designed to get you hired. 92% of our graduates land a job within 6 months.
Your Mentor
Fotie M. Constant
Data Scientist
Database architect who optimized queries serving 50M+ users, PostgreSQL contributor
Career Opportunities
- Database Administrator
- Data Architect
- Backend Engineer
- Performance Engineer
- Database Developer