In the third part of the series on building a minimalist data platform, Denis from Selectel addresses the challenge of accessing data in Apache Iceberg format. While Iceberg and the metadata catalog effectively handle storage and versioning, the data in S3 remains a collection of disparate Parquet files. The author explores how to enable SQL queries against this data without deploying heavy Apache Spark clusters or migrating data to separate databases. The article analyzes approaches to selecting a compute engine that allows engineers and analysts to interact with tables directly. This guide is aimed at those looking to optimize their data architecture by avoiding redundant tools while maintaining high performance when working with object storage.
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