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.
What are some common issues you run into when integrating multiple data sources?
Recognizing schema and semantic mismatches across sourcesUnderstanding ELT orchestration with Airbyte and dbtHandling idempotency and duplicate records during retriesCatching data quality issues before curated models are published