BigData / Apache Hudi Interview Questions
What is a data lakehouse, and how does Hudi fit into that model?
A data lakehouse combines the low-cost, scalable storage of a data lake (files sitting on object storage) with the transactional reliability, schema management, and query performance traditionally associated with a data warehouse.
Hudi fits into this model as the table format layer sitting directly on top of raw Parquet/Avro files in object storage. It adds the timeline, indexing, and metadata that turn a folder of files into something that supports ACID commits, upserts, deletes, and time-travel — the exact warehouse-like guarantees a plain data lake lacks on its own.
A data lakehouse combines the strengths of:
In the lakehouse model, Hudi acts as the:
More Related questions...
