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Data Freshness

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StarRocks
StarRocks
Jun 25, 2026 · Databases

StarRocks 4.1 Enables Faster Iceberg Queries While Preserving Data Freshness

StarRocks 4.1 introduces an incremental materialized view for Apache Iceberg that ties refresh cost to data changes instead of table size, dramatically cutting refresh time, maintaining low latency, and keeping query results fresh even as tables scale to terabytes or petabytes, with a fallback to partition refresh when needed.

Apache IcebergData FreshnessIncremental Materialized View
0 likes · 8 min read
StarRocks 4.1 Enables Faster Iceberg Queries While Preserving Data Freshness
Past Memory Big Data
Past Memory Big Data
Dec 12, 2025 · Big Data

How Uber Reduced Data Freshness from Hours to Minutes Using Flink Streaming

Uber rebuilt its data‑lake ingestion pipeline with Apache Flink, replacing batch jobs with a streaming architecture that cuts data freshness from hours to minutes, lowers compute usage by 25%, and solves challenges like small‑file proliferation, partition skew, and checkpoint‑commit synchronization at petabyte scale.

Apache FlinkApache HudiData Freshness
0 likes · 10 min read
How Uber Reduced Data Freshness from Hours to Minutes Using Flink Streaming