Data Engineering
Architect, build, and optimize scalable data platforms, distributed pipelines, and streaming engines.
Master foundational distributed computing principles, relational modeling, and real-time streaming architectures. Transition into production engineering with modern orchestrators, analytical data warehouses, and data lakehouse implementations. Build fault-tolerant, high-throughput data infrastructure capable of processing petabyte-scale workloads.
Curriculum
Two complete tracks. Study either or both — each has its own exam and certificate.
A mathematically and algorithmically rigorous grounding in distributed systems theory, relational algebra, and stateful stream processing models.
Theoretical examination of low-level database storage engines, distributed consensus algorithms, and replication mechanics.
- Log-Structured Merge-Trees and B-Tree Storage Engines Lab40 min
- Distributed Consensus: Raft and Paxos Protocols Lab45 min
- Replication Topologies and Conflict Resolution Lab35 min
Careers this prepares you for
- Data Engineer
- Distributed Systems Engineer
- Analytics Engineer
- Big Data Platform Architect