Big Data
Big Data with Hadoop & Spark
Build production lakehouse architectures, advanced Spark optimisation, and ML pipelines.
Level: AdvancedBig Data
What You'll Learn
Delta Lake & ACID
Data lakehouse patterns
Advanced Spark tuning
Adaptive query execution
MLlib & ML pipelines
Real-time analytics
Data governance
Cloud data warehouses
Capstone: lakehouse platform
What's Included
🧭AI Tutor🔒
Interactive learning path with AI-generated lessons read aloud by your personal tutor
🧪Practice Lab🔒
Step-by-step lab instructions with AI guidance — run in your own IDE or sandbox.
🎙️Mock Interviews🔒
AI interviewer asks tailored questions, gives real-time feedback and a score report
📝Evaluation🔒
MCQ questions (theory, practical, code) to test your knowledge and earn a badge
⚔️Challenge AI🔒
Compete head-to-head against AI on real production problems — judged on correctness, performance, scalability, code quality, and edge cases
Course Syllabus
Delta Lake & Lakehouse
- •Delta Lake Architecture
- •ACID on Spark
- •Schema Evolution
- •Time Travel & Versioning
- •Lakehouse vs Warehouse
Advanced Spark
- •Memory Management & Tuning
- •Data Skew & Salting
- •Adaptive Query Execution (AQE)
- •Spark UI & Debugging
- •Broadcast vs Shuffle Joins
ML Pipelines
- •MLlib Pipeline API
- •Feature Engineering at Scale
- •Model Training & Evaluation
- •MLflow Integration
- •Model Serving with Spark
Real-Time & Streaming
- •Kafka Streams
- •KSQL
- •Flink Basics
- •Lambda Architecture
- •Kappa Architecture
Governance & Production
- •Data Quality with Great Expectations
- •Data Lineage
- •Security in Hadoop
- •Multi-Cloud Data Platforms
- •Capstone: Lakehouse Platform
You're all set
Everything in this course is unlocked.
Continue Learning →✓AI Tutor
✓Practice Lab
✓Mock Interviews
✓Evaluation
✓Challenge AI