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Basic Data Pipeline Concepts Questions

Demonstrate foundational understanding of how data moves through systems and why it matters for product and operations. Explain the extract transform and load process and the purpose of each step, differences between batch processing and streaming data, common data quality issues and mitigation techniques, simple data modeling concepts such as entities and relationships, and the importance of data lineage and provenance for reliability and compliance. Be able to relate these concepts to how requirements and integrations are specified.

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