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Still staying up late to clean data for large models? Ant has won the best paper in VLDB industry, handling 35PB of corpus with a single wide table, with efficiency increased by 5.6 times!

2026-09-02 14:20 Products & Apps 🔥 29.4 heat score
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29.4heat score
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SummaryAI generated

Ant Group won the Industrial Best Paper Award at the VLDB conference for proposing a wide table technology to process corpus data of 35PB in size, achieving 5.6 times higher efficiency compared to traditional methods.

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Key entitiesKEY ENTITIES
Ant GroupOmniTableVLDB

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Entity relations
Ant Group × OmniTable1Ant Group × VLDB1OmniTable × VLDB1

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Keyword heat
  • Ant Group1
  • OmniTable1
  • VLDB1

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