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{
  "uri": "at://did:plc:odt76ndwgegtwjjjtd46ht4i/app.bsky.feed.post/3lnjczzvowk2r",
  "cid": "bafyreif3uban6ik2ud5f2f3zbfwokupbljf6pama2ftqy6gwbko2djqpcm",
  "value": {
    "text": "If anyone is interested in a deep read into random access performance + Parquet then we've put out a preprint: arxiv.org/abs/2504.15247\n\nParquet is not really as bad as it's reputation implies (though of course I am biased towards Lance 😛, and there are valid limitations in Parquet re: RAM)",
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      "external": {
        "uri": "https://arxiv.org/abs/2504.15247",
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          "mimeType": "image/jpeg",
          "size": 178376
        },
        "title": "Lance: Efficient Random Access in Columnar Storage through Adaptive Structural Encodings",
        "description": "The growing interest in artificial intelligence has created workloads that require both sequential and random access. At the same time, NVMe-backed storage solutions have emerged, providing caching ca..."
      }
    },
    "langs": [
      "en"
    ],
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    ],
    "createdAt": "2025-04-23T23:13:32.889Z"
  }
}