This repository is designed for systematic learning and hands-on practice with Apache Iceberg. It is structured to be beginner-friendly, easy to maintain, and suitable for both self-study and onboarding new data engineers.
learning-iceberg/
README.md # Project overview and learning roadmap
docs/ # Documentation: concepts, guides, best practices
concepts/ # Core concepts and theory
quick-start-commands.md # Essential commands reference
projects/ # Hands-on learning projects
01-core-concepts/ # ✅ Complete tutorial collection (Ready to Use)
docker-compose.yml # Environment setup
manage.sh # Management scripts
notebooks/ # 5 comprehensive tutorials
iceberg-tutorial.ipynb # Basic operations
schema-evolution-tutorial.ipynb # Schema management
time-travel-tutorial.ipynb # Historical queries
cloud-integration-tutorial.ipynb # Multi-cloud deployment
production-pipeline-tutorial.ipynb # Best practices
scripts/ # Supporting test scripts
warehouse/ # Iceberg data storage with sample tables
README.md # Detailed project guide
02-hands-on-practice/ # 📋 Advanced scenarios (Planned)
03-architecture-deep-dive/ # 📋 Internals study (Planned)
04-production-applications/ # 📋 Enterprise ops (Planned)
README.md # Projects overview and roadmap
- docs/: Centralized documentation including core concepts, quick-start guides, and best practices.
- projects/: Complete hands-on learning environment with progressive tutorials and real-world scenarios.
- 01-core-concepts/: Ready-to-use comprehensive tutorial collection covering all Iceberg fundamentals
- 02-04/: Future advanced learning phases (planned development)
-
Navigate to the core tutorials:
cd projects/01-core-concepts/ -
Start the learning environment:
./manage.sh start
-
Access interactive tutorials: http://localhost:8888
-
Follow the tutorial sequence:
iceberg-tutorial.ipynb- Master the basicsschema-evolution-tutorial.ipynb- Learn safe schema changestime-travel-tutorial.ipynb- Explore historical data featurescloud-integration-tutorial.ipynb- Deploy across cloud platformsproduction-pipeline-tutorial.ipynb- Apply production best practices
- Study theory first: Explore concepts in the
docs/directory - Reference commands: Use
docs/quick-start-commands.mdfor quick lookups - Practice hands-on: Work through the comprehensive tutorials
- Apply knowledge: Experiment with your own data and scenarios
- Documentation: Add new concepts or guides to the
docs/directory - Tutorials: Enhance existing notebooks in
projects/01-core-concepts/notebooks/ - Examples: Add new examples or scenarios to existing tutorials
- Advanced Content: Develop content for future project phases (02-04)
- Updates: Keep README files current with any structural changes
This streamlined structure provides immediate hands-on learning value while maintaining clarity and scalability. Happy learning with Apache Iceberg!
- Understand the core concepts and architecture of Apache Iceberg, including its advantages over traditional table formats.
- Gain hands-on experience with Iceberg table creation, data insertion, querying, schema evolution, and time travel features.
- Learn to set up and configure Iceberg environments locally (via Docker) and on cloud platforms.
- Master best practices for partitioning, file layout, metadata management, and table maintenance.
- Develop troubleshooting skills for common issues encountered in Iceberg usage.
- Integrate Iceberg with major compute engines (Spark, Flink, Trino) and cloud storage solutions.
- Achieve the ability to design, deploy, and operate Iceberg-based data lakes in production environments.
- Build a reusable knowledge base and practical project portfolio for future reference and team onboarding.
Status: Ready-to-use comprehensive tutorial collection in projects/01-core-concepts/
- ✅ Iceberg Fundamentals - Table formats, architecture, and core concepts
- ✅ Hands-on Operations - Create, manage, and query Iceberg tables
- ✅ Schema Evolution - Safe schema changes without breaking applications
- ✅ Time Travel - Historical queries, snapshots, and data recovery
- ✅ Cloud Integration - Deploy across AWS, Azure, and GCP platforms
- ✅ Production Practices - Performance optimization and operational excellence
iceberg-tutorial.ipynb- Master basic operations and conceptsschema-evolution-tutorial.ipynb- Learn safe schema managementtime-travel-tutorial.ipynb- Explore historical data capabilitiescloud-integration-tutorial.ipynb- Deploy across cloud platformsproduction-pipeline-tutorial.ipynb- Apply production best practices
- Ready Environment: Docker-based setup with one command
- Interactive Learning: Jupyter notebooks with working examples
- Real Data: Sample warehouse with actual Iceberg tables
- Progressive Difficulty: From basics to production scenarios
Completion Result: Master all Iceberg fundamentals through hands-on practice
Goal: Complex scenarios and integration patterns
Focus Areas:
- Multi-engine workflows (Spark + Flink + Trino)
- Custom catalog implementations
- Advanced partitioning strategies
- Data governance integration
Goal: Internals understanding and custom development
Focus Areas:
- Core module analysis and Java API
- Custom file format implementations
- Performance profiling and optimization
- Metadata management internals
Goal: Enterprise deployment and operations
Focus Areas:
- Large-scale deployment patterns
- Monitoring and alerting systems
- Disaster recovery procedures
- Team training and documentation
| Phase | Focus Area | Status | Resources |
|---|---|---|---|
| Phase 1 | Core Concepts Mastery | ✅ Ready | projects/01-core-concepts/ |
| Phase 2 | Advanced Practice | 📋 Planned | Coming soon |
| Phase 3 | Architecture Deep Dive | 📋 Planned | Coming soon |
| Phase 4 | Production Applications | 📋 Planned | Coming soon |
- ✅ Milestone 1: Complete tutorial environment setup and basic operations
- ✅ Milestone 2: Master schema evolution and time travel capabilities
- ✅ Milestone 3: Understand cloud deployment patterns
- ✅ Milestone 4: Learn production best practices and optimization
- 📋 Future: Advanced integration and enterprise deployment
- Start Learning:
cd projects/01-core-concepts/ && ./manage.sh start - Complete Tutorials: Work through all 5 comprehensive notebooks
- Practice: Experiment with your own data and scenarios
- Apply: Use Iceberg concepts in real projects
Create format: notes/YYYY-MM-DD.md
- Today's learning content
- Key concept understanding
- Practice operation records
- Problems encountered and solutions
- Tomorrow's plan
projects/- Actual code and configurationsexamples/- Example code during learningtroubleshooting/- Problem troubleshooting records
After completing the comprehensive tutorial collection, you will be able to:
Theoretical Mastery:
- ✅ Explain Iceberg's advantages over traditional table formats
- ✅ Understand ACID transactions and their importance in data lakes
- ✅ Design optimal partition strategies for performance
- ✅ Understand multi-engine concurrent access patterns
Practical Skills:
- ✅ Set up and manage Iceberg development environments
- ✅ Create, evolve, and maintain production-ready tables
- ✅ Implement safe schema evolution without downtime
- ✅ Use time travel for data recovery and analysis
- ✅ Deploy Iceberg across cloud platforms (AWS/Azure/GCP)
- ✅ Apply performance optimization techniques
Real-World Applications:
- ✅ Design data lake architectures with Iceberg
- ✅ Implement data pipelines with schema evolution
- ✅ Troubleshoot and resolve common issues
- ✅ Train team members on Iceberg best practices
Advanced skills for enterprise deployment and custom development
- Iceberg Slack Community
- Mailing List
- [Technical Blogs and Case Studies]
- Apache Spark
- Apache Flink
- Trino/Presto
- Cloud Storage Services (S3/ADLS/GCS)
Jump right into the comprehensive Iceberg tutorial collection:
cd projects/01-core-concepts/
./manage.sh start
# Then visit: http://localhost:8888Last Updated: 2025-06-15
Status: Phase 1 complete with 5 comprehensive tutorials ready for immediate use
Next: Begin your Iceberg journey with hands-on interactive learning!