aaronchenwei / awesome-industrial-papers

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awesome-industrial-papers

2024

2023

SIGMOD '23 - Seattle
  • Presto: A Decade of SQL Analytics at Meta

    • Meta Platform, Inc

  • Keep Your Distributed Data Warehouse Consistent at a Minimal Cost

    • Google Inc

  • GeaFlow: A Graph Extended and Accelerated Dataflow System

    • Ant Group

  • Disaggregating RocksDB: A Production Experience

    • Meta

  • GoldMiner: Elastic Scaling of Training Data Pre-Processing Pipelines for Deep Learning

    • Alibaba Group

  • VeDB: A Software and Hardware Enabled Trusted Relational Database

    • ByteDance

  • Apache IoTDB: A Time Series Database for IoT Applications

    • Timecho Ltd

  • What’s the difference? Incremental processing with change queries in Snowflake

    • Snowflake

  • High-Throughput Vector Similarity Search in Knowledge Graphs

    • Apple

  • PG-Schema: Schemas for Property Graphs

    • Best Paper

  • PolarDB-IMCI: A Cloud-Native HTAP Database System at Alibaba

    • Alibaba Group

  • Vineyard: Optimizing Data Sharing in Data-Intensive Analytics

    • Alibaba Group

  • Steered Training Data Generation for Learned Semantic Type Detection

    • DHBW Mosbach

  • When Automatic Filtering Comes to the Rescue: Pre-Computing Company Competitor Pairs in Owler

    • Meltwater

  • DataChat: An Intuitive and Collaborative Data Analytics Platform

    • DataChat Inc

  • Towards Building Autonomous Data Services on Azure

    • Microsoft

  • Auto-WLM: ML-enhanced workload management in Amazon Redshift

    • AWS

  • Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning

    • Keebo, Inc

  • Growing and Serving Large Open-domain Knowledge Graphs

    • Apple

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