Fused

Fused

数据基础架构与分析

Build with data, instantly.

关于我们

Build, scale, and ship geospatial workflows of any size. With Fused, teams generate responsive map apps, dashboards, and reports. They get a distributed execution framework without needing to slow down to translate code, transfer data, and maintain infrastructure. Teams build workflows of any scale with Python SDK and Workbench webapp, and integrate them into their stack with the Hosted API.

网站
https://www.fused.io
所属行业
数据基础架构与分析
规模
2-10 人
类型
私人持股
创立
2024
领域
geospatial、analytics和serverless

Fused员工

动态

  • Fused转发了

    查看Dominik Weckmüller的档案,图片

    GIS, Geo Data Science, GeoAI, LLMs & NLP

    Query Foursquare's 100M OS places in a one-liner with DuckDB without downloading! If you'd like to see for yourself what kind of entries you can find in Foursquare's dataset, check out this Hugging Face dataset. Link: https://lnkd.in/dk84BKzz Based on Fused's preprocessed geoparquet files (thanks a lot!) I created a single 10Gb file that you can query with DuckDB from your system without downloading it thanks to the magic of httpfs (http range requests). It's as simple as installing DuckDB and running this one-liner: ????????????.??????(??"?????????????*??????????'????://????????????????/????-????/????????????????????_????????????_????????/????????????????????_????????????.??????????????'????????????????????????????????'%????????????%'?") On my system it takes 70 seconds for a query. If you download the file instead and query it locally, it's much faster. On my system (M3 Max), it takes only 5 seconds to query the file! ????????????.??????("?????????????*??????????'????????????????????_????????????.??????????????'????????????????????????????????'%????????????%'?") fyi: As many people have pointed out, there's indeed a whole lot of geospatial defamation in there which - in my opinion - should absolutely have been filtered out.

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  • Fused转发了

    查看Stephen Kent的档案,图片

    Data Engineering and Visualization

    Vegan Restaurants and Yoga Studios in San Francisco - FSQ Places I made a 500 meter buffer around vegan restaurants (purple) and overlayed yoga studios (yellow points). This is sort of a joke but you can really see where where the market is saturated and where there's oppurtunity for new establishments. Fused

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  • Fused转发了

    查看Stephen Kent的档案,图片

    Data Engineering and Visualization

    Drinking and Dining - Foursquare Places and Overture Builidngs This was an H3 join at resolution 11, there is still a lot that shows up at 12. You can see in Brooklyn the establishments can generally be found on avenues. This is such a rich and very precise dataset. I'm looking forward to dining in. Thinking about visualizing competition zones. Fused

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  • Fused转发了

    查看Stephen Kent的档案,图片

    Data Engineering and Visualization

    Flood Analysis with Sentinel-2 and Overture Maps, DeLand Florida I've been experimenting with the Fused satellite UDFs and I found that if I filter the Near Infared (NIR) band from Sentinel-2 enough I can isolate water. I turned the band into blue hexagons that are seen here and joined them with Overture buildings (orange) to see if the water intersected them. I wanted to test my threshold so I looked at the Spring of 2024 in the same area that was fairly dry against October when Florida was hit by a series of hurricanes. You can use methods like this to see if structures are affected in environmental disasters. For those of you in insurance, each of these buildings has an address from Overture.

  • 查看Fused的公司主页,图片

    3,233 位关注者

    Access the New Foursquare POI dataset in a single click, all from your browser ??

    查看Maxime Lenormand的档案,图片

    Dev Advocate at Fused.io | Host of "Minds Behind Maps" podcast

    ?? The Fastest Way to Access the new Foursquare 100M+ POI dataset ?? https://lnkd.in/gZgtqSBV Yesterday Foursquare released a huge open source dataset of POIs At Fused we jumped on it, partioned it as GeoParquet files to make it simple to work with We also built a public UDF to manipulate all this data blazing fast, which you can try out for yourself, for free, no login required! You can visualise the dataset and export the data in your viewport in a single click! Read our blogpost: https://lnkd.in/gFsPg2vw

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融资

Fused 共 1 轮

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US$1,000,000.00

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