TLDR Tech / Data
AI Schema Analyzer: Powered by Iceberg and Lakekeeper
Iceberg and Lakekeeper are used to build an AI schema-drift impact analyzer for lakehouse tables, turning schema changes into near-real-time alerts and recommendations. The flow is: query engines issue DDL, Lakekeeper updates the Iceberg catalog and emits change events to Kafka/Redpanda, and a FastAPI + aiokafka + Anthropic service analyzes impact within seconds without scanning table metadata. Output is delivered to Slack and SQLite.
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