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How do you merge data from different sources in ADF while maintaining data quality?

Cloud/Toolsmedium0.3 min read

Reviewed by Aditya Kumar · Last reviewed 2026-03-24

Architectural approach: Data Flow or Lookup + Join. Quality: (1) Validation—filter nulls, invalid ranges. (2) Deduplication—Surrogate Key, Window. (3) Conform types. (4) Error handling—reject table for bad rows. Flow: Multiple sources → Join → Filter invalid → Dedupe → Sink....

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Frequency
Low
Asked at 1 company
Category
179
questions in Cloud/Tools
Difficulty Split
104E|27M|48H
in this category
Total Bank
1,863
across 7 categories
Part of the SQL Window Functions Interview Preparation Hub
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Key Concepts Tested
joinwindow
Expert Answer
52 words

Architectural approach: Data Flow or Lookup + Join. Quality: (1) Validation—filter nulls, invalid ranges. (2) Deduplication—Surrogate Key, Window. (3) Conform types. (4) Error handling—reject table for bad rows. Flow: Multiple sources → Join → Filter invalid → Dedupe → Sink. Best practice: Define quality rules; reject table; log metrics; validate before merge.

⚡
Pro Tip

Red Flag: Merging without dedup or validation. Pro-Move: 'We use Surrogate Key + Window for dedupe; bad rows to reject table—we track reject rate in dashboard.'

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