- Basic integration with Spark is introduced for analytics and ETL tasks.
- Kafka or real-time streaming integrations are not deeply covered.
- Learners can extend their knowledge using additional resources or tutorials.
- Focus is on designing scalable, fault-tolerant data models compatible with big data pipelines.
- Core skills can be applied to other ecosystems after completing the course.
