๐ ๐๐๐ ๐๐๐๐ง๐๐ซ๐ข๐จ-๐๐๐ฌ๐๐ ๐๐ง๐ญ๐๐ซ๐ฏ๐ข๐๐ฐ ๐๐ฎ๐๐ฌ๐ญ๐ข๐จ๐ง๐ฌ ๐๐จ๐ซ ๐๐๐ญ๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ฌ
๐๐ง ๐ฆ๐๐ง๐ฒ ๐๐๐ญ๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ข๐ง๐ ๐ข๐ง๐ญ๐๐ซ๐ฏ๐ข๐๐ฐ๐ฌ, ๐ข๐ง๐ญ๐๐ซ๐ฏ๐ข๐๐ฐ๐๐ซ๐ฌ ๐๐จ๐งโ๐ญ ๐๐ฌ๐ค ๐ฌ๐ข๐ฆ๐ฉ๐ฅ๐ ๐๐๐ ๐จ๐ซ ๐ฉ๐ข๐ฉ๐๐ฅ๐ข๐ง๐ ๐ช๐ฎ๐๐ฌ๐ญ๐ข๐จ๐ง๐ฌ.
๐๐๐ซ๐ ๐๐ซ๐ 10 ๐๐ก๐๐ฅ๐ฅ๐๐ง๐ ๐ข๐ง๐ ๐๐๐ ๐ฌ๐๐๐ง๐๐ซ๐ข๐จ-๐๐๐ฌ๐๐ ๐ช๐ฎ๐๐ฌ๐ญ๐ข๐จ๐ง๐ฌ ๐ญ๐ก๐๐ญ ๐จ๐๐ญ๐๐ง ๐๐ฉ๐ฉ๐๐๐ซ ๐ข๐ง ๐ข๐ง๐ญ๐๐ซ๐ฏ๐ข๐๐ฐ๐ฌ ๐๐ญ ๐ฉ๐ซ๐จ๐๐ฎ๐๐ญ ๐๐จ๐ฆ๐ฉ๐๐ง๐ข๐๐ฌ.
๐ How would you design your ETL pipeline to ensure accurate reporting without reprocessing everything?
๐ How would you design the ETL pipeline to deduplicate data efficiently at scale?
๐ How would you design your ETL pipeline so that schema changes donโt break the pipeline?
๐ What data validation checks would you implement before loading data to the warehouse?
๐ How would you design the system so you restart only the failed part without re-running the entire pipeline?
๐ How would you fix the data skew issue?
๐ How would you backfill without disrupting current production pipelines?๐ How would you design a hybrid architecture combining:streaming pipelines batch ETL
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