LogSeam demonstrates how to build a high-performance security data lakehouse that searches 500 million logs per second with 1.5 TB/s throughput while reducing costs by 40-80%. The architecture converts JSON logs to compressed Parquet files, achieving 100x storage reduction, and uses globally distributed object storage with elastic compute for sub-second query responses across continents.

6m read timeFrom tigrisdata.com
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Table of contents
Faster Queries over Bigger Data ​The Architecture ​Global storage that’s actually global ​Conclusion: Search, Unlimited ​

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