Build Your Apache Hudi Data Lake on Amazon EMR

Part 8: Hands-on Tutorials · Hands-on Tutorials

Read the full tutorial: Build Your Apache Hudi Data Lake on Amazon EMR

Link verified 2026-08-23.

This tutorial builds a Hudi table on an EMR cluster, then runs upserts and incremental pulls to show how Hudi tracks row-level changes instead of rewriting whole partitions on every update.

It puts Table Formats: Delta vs Iceberg vs Hudi and the merged-storage promise of Lakehouse Architecture: Unifying Warehouse & Lake into practice — one open table format serving both the bulk-rewrite and the incremental-read use case a warehouse-only or lake-only design would need two systems for.

flowchart LR
    A[Source records] --> B[EMR - Hudi writer]
    B --> C[Hudi table on S3 - CoW / MoR]
    C --> D[Incremental pull / upsert]
    C --> E[Query engines: Hive, Spark, Presto]

| ← Previous: Transactional Data Lake with Apache Iceberg, EMR Serverless & Athena | Next: Manage Data Transformations with dbt in Amazon Redshift → | |:—|—:|


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