Optimizing Speed and Scale of User-Facing Analytics w Kafka and Pinot
summary
Apache Kafka streams events while Apache Pinot serves low‑latency OLAP queries so product features can show fresh analytics to users rather than just dashboards. The stack ingests batch and streaming sources, consolidates into columnar segments, and uses pluggable indexes (notably the star tree index, plus geospatial and JSON/text indexes) to hit sub‑50ms query latency at scale — LinkedIn reports about 1M events/sec ingest and 200k queries/sec in production.
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