Topic
Iceberg V3
5 posts tagged “Iceberg V3”.
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How Iceberg V3 Deletion Vectors Fixed Merge-on-Read for Streaming Tables
A change data capture pipeline lands updates from an operational database every thirty seconds. Under Iceberg V2 with merge-on-read, each of those…
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How Iceberg V3 Variant Shredding Changed Semi-Structured Data on S3 Tables
Every data engineer has inherited the same table. It has four or five real columns and one column called payload, raw, body, or eventjson. That…
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Iceberg v3 Deletion Vectors and Faster DML
Deleting one row from a data lake used to mean rewriting a whole file. If a 512 MB Parquet file held a million rows and you needed to delete one of…
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Implementing Positional Deletes in Iceberg v3: Streamlining Merge-on-Read for Fast-Inbound Event Lakes
Event data has a way of humbling neat architecture diagrams. It arrives late. It arrives twice. It arrives with incorrect attributes. It needs…
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Mapping the Variant Type in Iceberg v3: Standardizing Semi-Structured AI JSON Payloads
AI applications are messy data producers. They create prompts, completions, tool calls, retrieval traces, ranking signals, evaluation scores, safety…