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  1. 固定されたツイート
    8月3日

    Out today: introducing Databook, Uber's platform for exploring and discovering about the internal locations and owners of datasets. Read the article:

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  2. 2 時間前

    Cadence is our distributed, scalable, durable, and highly available orchestration engine we developed to execute asynchronous long-running business logic in a scalable and resilient way.

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  3. 5 時間前

    'I lead with “engineer” so they don’t assume that I am in a non-technical role because I am a woman (which is embarrassing for them), then I mention “privacy” because privacy is a fascinating problem space and many folks have opinions about online privacy'

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  4. さんがリツイート
    8月3日

    When you have to deal with petabytes of data, you need a system to help organize the data about the data. via

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  5. 8 時間前

    Making ' semi-dockless electric bicycles available on Uber's platform not only added a popular new transportation type for riders, but also marked an important step in how we can use our technology to broaden transportation options.

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  6. 14 時間前

    Software engineer Shan He introduces , our geospatial tool that makes it easy to derive meaningful insights from location data.

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  7. 17 時間前

    Get to know our Aarhus team and the work they do behind the scenes to build and maintain our storage and compute platforms. 🇩🇰

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  8. 20 時間前

    What do and mentorship have in common? According to Uber SRE manager Sumbry, both areas focus on growth.

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  9. 23 時間前

    Last fall, we introduced a architecture that more accurately forecasts time series predictions and uncertainty estimations.

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  10. 8月4日

    Go-helix is our implementation of (currently the participant part only).

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  11. 8月3日

    Our XP Background Push tool mitigates bugs safely and efficiently in real time, facilitating more seamless user experiences on our apps.

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  12. 8月3日

    'Our mission this year is clear, “How do you take one of our city operations and move it to the cloud in an international context, and then move it back?”'

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  13. さんがリツイート
    8月3日

    "Big data by itself, though, isn’t enough to leverage insights; to be used efficiently and effectively, data at Uber scale requires context to make business decisions and derive insights." Read all about 's solution to this query, Databook:

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  14. 8月3日

    Our in-house marketing platform Euclid is based on and and features a channel agnostic API plugin architecture called MaRS as well as a custom ETL pipeline that streams heterogenous data into a single schema for easy querying.

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  15. 8月3日

    The Uber Safety team's goal is to ensure that users have a secure and seamless experience on our apps. Engineering manager Shimul Sachdeva looks at a case study on how ensures the safety of cash payments worldwide.

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  16. さんがリツイート
    8月3日

    Going Global: Highlights from the Second Annual Technology Day via

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  17. さんがリツイート
    8月3日

    Introducing Fusion.js: A Plugin-based Universal Web Framework via

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  18. 8月3日

    We extended our anomaly detection platform's ability to integrate new forecast models earlier this year, allowing this critical on-call service to scale to meet more complex use cases.

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  19. 8月3日

    Our Sensing, Inference, and Research team released a software upgrade for GPS on Android phones that significantly improves location accuracy in urban environments.

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  20. 8月2日

    Our team delivers intelligence through crafting visual exploratory data analysis tools.

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