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How can a data lake design pattern ensure data quality while allowing flexible schema changes?

hard📝 Application Q9 of 15
Hadoop - Modern Data Architecture with Hadoop
How can a data lake design pattern ensure data quality while allowing flexible schema changes?
ABy enforcing strict schema in raw zone only
BBy storing only unstructured data in all zones
CBy disallowing any schema changes in all zones
DBy using schema-on-read in raw zone and schema enforcement in curated zone
Step-by-Step Solution
Solution:

  1. Step 1: Understand schema-on-read

    Schema-on-read allows flexible schema when reading raw data without enforcing upfront.

  2. Step 2: Apply schema enforcement

    Curated zone applies schema enforcement to ensure data quality for analysis.

  3. Final Answer:

    By using schema-on-read in raw zone and schema enforcement in curated zone -> Option D

  4. Quick Check:

    Flexible schema + quality = Schema-on-read + enforcement [OK]
Quick Trick: Raw zone flexible, curated zone strict schema [OK]
Common Mistakes:
  • Enforcing strict schema too early
  • Disallowing schema changes completely
  • Storing only unstructured data

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