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Integrating Multiple Data Sources

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Your question is Integrating Multiple Data Sources. Take a moment with it on the right.

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Problem

Scenario

You're combining data from several systems into one pipeline and want to think through the common integration issues before building it. The goal is to make the data usable for reporting and downstream workflows without creating constant cleanup work.

Question

What are some common issues you run into when integrating multiple data sources?

What This Tests

  • Recognizing schema and semantic mismatches across sources
  • Understanding ELT orchestration with Airbyte and dbt
  • Handling idempotency and duplicate records during retries
  • Catching data quality issues before curated models are published