Remove 2000 Remove Cost-Benefit Remove Snapshot Remove Statistics
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Materialized Views in Hive for Iceberg Table Format

Cloudera

Subsequently, these snapshot IDs are used to determine the delta changes that should be applied to the materialized view rows. Hive does this by asking the Iceberg library to return only the rows inserted since that table’s last snapshot when the materialized view was last rebuilt/created.

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Keeping Small Queries Fast – Short query optimizations in Apache Impala

Cloudera

Impala’s planner does not do exhaustive cost-based optimization. Instead, it makes cost-based decisions with more limited scope (for example when comparing join strategies) and applies rule-based and heuristic optimizations for common query patterns. As we discussed previously, Impala tries to cache and optimize this metadata.

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Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

For example auto insurance companies offering to capture real-time driving statistics from policy-holders’ cars to encourage and reward safe driving. And it’s become a hyper-competitive business, so enhancing customer service through data is critical for maintaining customer loyalty. That’s the reward. This stuff works.

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