seniorHadoop

What is Hadoop data ingestion architecture?

Updated May 16, 2026

Short answer

Data ingestion architecture defines how data flows into Hadoop from external sources.

Deep explanation

It includes batch ingestion (Sqoop, Flume), streaming ingestion (Kafka), and file-based ingestion. Data is validated, transformed, and stored in HDFS or data lake formats like Parquet. Proper ingestion ensures scalability and consistency.

Real-world example

Streaming click data from Kafka into HDFS for analytics.

Common mistakes

  • Ignoring schema evolution during ingestion.

Follow-up questions

  • What is Flume used for?
  • What is Kafka role?

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