2023-01-31 16:30:00 ~ 2023-02-01 16:30:00
随着公司业务方规模的增长,面对大量不同类型的数据,如何治理这些来源不同、数据量大的数据是一个值得思考的问题。
本次分享结合腾讯内部数据管理方法,围绕数据治理技术实践,展开介绍腾讯在数据治理领域中做的相关工作。
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调试功能做为开发的必备神技,熟练掌握后能极大的提高开发效率,再也不必为频繁运行代码而苦恼了。文章同时还会详细介绍调试的原理,想知道为什么方法断点那么慢?
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在容器生态中,日志采集是非常重要且不可或缺的组件之一,它不仅仅涉及到业务方错误日志的排查,还涉及到日志数据统计系统,成为战略决策的重要参考依据。
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File、Blob、FileReader、ArrayBuffer、Buffer、Base64。
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When members are shown a title on Netflix, the displayed artwork, trailers, and synopses are personalized. That means members see the assets that are most likely to help them make an informed choice. These assets are a critical source of information for the member to make a decision to watch, or not watch, a title. The stories on Netflix are multidimensional and there are many ways that a single story could appeal to different members. We want to show members the images, trailers, and synopses that are most helpful to them for making a watch decision.
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Hundreds of millions of real-time decisions are made each day at Lyft by online machine learning models. These model-based decisions include price optimization for rides, incentives allocation for drivers, fraud detection, ETA prediction, and innumerable others that impact how riders move and drivers earn.
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Historically, Mixpanel used to track events at second-level granularity. For example, you could track an event with a timestamp of Jan 2, 2006, 3:04:05am. This caused problems when multiple events were tracked within the same second.
Once they were tracked, there was no way to know the true order in which these events happened. Internally, we sort the events in increasing order of event time, but if two events occurred at the same timestamp, we would sort them lexicographically by the name of the event.
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Airbnb connects millions of guests and Hosts everyday. Most of these connections are forged through search, the results of which are determined by a neural network–based ranking algorithm. While this neural network is adept at selecting individual listings for guests, we recently improved the neural network to better select the overall collection of listings that make up a search result. In this post, we dive deeper into this recent breakthrough that enhances the diversity of listings in search results.
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Here's what we've learned from making architecture changes to Meta’s event driven asynchronous computing platform.
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Turbopack 是 Webpack 的作者 Tobias Koppers 使用 Rust 语言开发一个前端模块化的工具,按作者构想 Turbopack 的目标是取代 Webpack。
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本文重点介绍了交易履约订单中心的系统架构设计经验,该架构经过不断的产品迭代,已支撑了京东科技多个交易场景,每年亿级的数据增长。读者可以通过本文了解到一种通过配置化的方式来满足业务诉求的设计思路,在架构设计、数据模型、通用流程设计等方面,有较高的参考价值。
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OOM是实例使用内存超过实例规格内存上限导致进程被kill,实例存在秒级的不可用。MySQL的内存管理比较复杂,内存监控需要开启performance schema查询(默认关闭),会带来额外的内存消耗和性能损失,在不开启performance schema情况下排查内存使用情况又比较困难。本文将基于TDSQL-C(基于MySQL5.7)总结一下在线上经常出现的一些OOM的场景、排查手段及相应的优化方案。
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哈啰在去年9月30日开启了首届的假日狂欢节,我们也做了很多的稳定性保障工作,最终大促顺利渡过,业务体感非常顺滑。
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