Reviewed by Aditya Kumar Β· Last reviewed 2026-03-24
Structured (SQL, CSV). Semi-structured (JSON, Avro, Parquet). Unstructured (logs, text, images). Temporal (time-series, events). Geospatial. Example: 'Semi-structured Kafka JSON; structured RDS; Parquet lake; log data.' Formats and use cases; schema-on-read vs -write.
Structured (SQL, CSV). Semi-structured (JSON, Avro, Parquet). Unstructured (logs, text, images). Temporal (time-series, events). Geospatial. Example: 'Semi-structured Kafka JSON; structured RDS; Parquet lake; log data.' Formats and use cases; schema-on-read vs -write.
Red Flag: Only one type. Pro-Move: Variety + how you handle each: 'JSON with schema registry; Parquet partitioned; logs in ELK.'
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