Фото: ChameleonsEye / Shutterstock / Fotodom
From the beginning, a small team at the startup had been hoovering up data to help landowners price and evaluate farmland—everything from sale and lease history and water infrastructure data to LiDAR topography, satellite imagery, and even the depth of water wells in Texas. Over time, the internal mapping and analytics stack “became bigger than Trader could, very quickly,” Malloy says, as land information is not only difficult and timely to obtain, but often requires data engineers to parse through.
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tree: Fix xmlRemoveEntity removing from wrong hash table