Comprehensive Data Engineering Training
Master the complete spectrum of data engineering through three specialized courses designed to build expertise in pipeline architecture, cloud platforms, and database systems.
Start Your Journey
Systematic Learning Methodology
Our course structure follows a progressive learning path from foundational concepts to advanced implementation, ensuring comprehensive skill development across all critical areas of data engineering.
Progressive Complexity
Each course builds upon previous knowledge while introducing new concepts and technologies, ensuring a solid foundation before advancing to complex implementations.
Hands-On Implementation
Every theoretical concept is immediately applied through practical exercises using production-grade tools and real-world datasets from actual industry scenarios.
Career-Focused Outcomes
Course content directly aligns with industry requirements and career advancement opportunities in Japan's growing data engineering market.
Integrated Learning Experience
Specialized Course Programs
Three comprehensive courses designed to provide complete coverage of modern data engineering disciplines, from fundamental concepts to advanced implementations.
Data Pipeline Architecture
Â¥72,000Design and build scalable data pipelines that efficiently process large volumes of information across distributed systems. Students learn stream processing, batch processing, and hybrid architectures using Apache Kafka, Apache Spark, and cloud-native solutions.
Core Technologies
Learning Outcomes
- Design scalable data ingestion patterns
- Implement real-time streaming architectures
- Master workflow orchestration and monitoring
Cloud Data Engineering with AWS
Â¥78,000Master cloud-native data engineering using Amazon Web Services ecosystem for modern data platform development. This comprehensive course covers S3 data lakes, Redshift warehousing, Glue ETL services, and Kinesis streaming analytics.
AWS Services
Key Skills
- Build production-ready data lakes
- Implement serverless data processing
- Deploy infrastructure as code
Database Systems & NoSQL Technologies
Â¥66,000Develop expertise in both traditional relational databases and modern NoSQL systems for diverse data engineering requirements. Students explore PostgreSQL optimization, MySQL replication, and Oracle performance tuning alongside MongoDB, Cassandra, and Redis implementations.
Database Technologies
Advanced Topics
- Performance optimization and tuning
- Distributed database architectures
- Migration strategies and implementation
Course Comparison and Selection Guide
Choose the optimal learning path based on your current experience level, career goals, and specific technology interests within data engineering.
| Course Feature | Pipeline Architecture | Cloud AWS | Database Systems |
|---|---|---|---|
| Investment | ¥72,000 | ¥78,000 | ¥66,000 |
| Duration | 8 weeks intensive | 10 weeks comprehensive | 6 weeks focused |
| Experience Level | Intermediate+ | All levels | Beginner friendly |
| Primary Focus | Stream processing | Cloud platforms | Data storage |
| Career Path | Pipeline Engineer | Cloud Architect | Database Specialist |
| Certification Prep | Apache Kafka | AWS Solutions Architect | PostgreSQL/MongoDB |
New to Data Engineering
Start with Database Systems to build foundational knowledge, then progress to Pipeline Architecture or Cloud AWS based on career interests.
Experienced Developer
Focus on Pipeline Architecture for advanced streaming concepts, or Cloud AWS for modern platform skills, depending on your target role.
Career Transition
Complete all three courses for comprehensive coverage and maximum career flexibility within data engineering roles.
Professional Technology Infrastructure
Students work with enterprise-grade technology stack and cloud infrastructure that mirrors professional data engineering environments.
Cloud Computing Platforms
Hands-on experience with major cloud providers using production-grade services and infrastructure components.
Data Storage Systems
Experience with both relational and NoSQL databases, data warehouses, and distributed storage solutions.
Processing Frameworks
Modern data processing tools for batch and stream processing at enterprise scale.
Development Environment
Professional development tools and environments used by industry practitioners.
Infrastructure Tools
Infrastructure as code, containerization, and orchestration technologies.
Analytics and Visualization
Data analysis and visualization tools for understanding and presenting data insights.
Course Packages and Learning Combinations
Optimize your learning investment with specially designed course combinations that provide comprehensive coverage while offering cost advantages.
Foundation Package
Perfect for beginners entering data engineering
6 weeks intensive
Professional Package
Complete pipeline and cloud expertise
Save ¥7,500 • 16 weeks
Complete Mastery
Full spectrum data engineering expertise
Save ¥21,000 • 20 weeks
Flexible Payment and Scheduling Options
Schedule Flexibility
Evening and weekend options available for working professionals with full-time commitments.
Payment Plans
Installment payment options available for all packages with no additional fees or interest charges.
Repeat Policy
Retake any course within 12 months at no additional cost if you need to reinforce concepts.
Start Your Data Engineering Specialization
Choose your optimal learning path and begin building expertise in modern data engineering technologies. Our advisors will help you select the ideal course combination for your career goals.