BigData / Apache Hudi Interview Questions
What is Apache Hudi?
Apache Hudi is an open-source data lakehouse platform built around a high-performance table format that brings database-like capabilities — record-level inserts, updates, and deletes — to data stored on cloud object storage such as S3, GCS, and Azure Blob Storage.
It was originally built at Uber in 2016 to power incremental data pipelines at scale, was open-sourced in 2017, and became an Apache Top-Level Project in 2020. Today, engines like Spark, Flink, Hive, Presto, and Trino can all read and write Hudi tables directly.
The core idea is that a data lake shouldn't force a choice between fast reads and fast, mutable writes — Hudi is designed to give you both, along with ACID transactions and time-travel queries.
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