匿名使用者
匿名使用者 發問時間: 社會與文化語言 · 5 年前

英翻中 關於大數據的資料探勘

我要看一篇paper 可是我摘要看了一個月都不是很懂,想請問高手幫我翻譯一下經過我整理的摘要

The analytics platform at Twitter has experienced tremendous growth over the past few years in terms of size, complexity, number of users, and variety of use cases.

In this paper, we discuss the evolution of our infrastructure and the development of capabilities for data mining on “big data”.

In this context, we discuss two topics:

First, schemas play an important role in helping data scientists understand petabyte-scale data stores, but they’re insufficient to provide an overall “big picture” of the data available to generate insights.

Second, we observe that a major challenge in building data analytics platforms stems from the heterogeneity of the various components that must be integrated together into production workflows—we refer to this as “plumbing”.

也可以幫我這題目翻譯一下嗎?

Scaling Big Data Mining Infrastructure: The Twitter Experience

2 個解答

評分
  • 5 年前
    最佳解答

    大數據論文中翻英

    The analytics platform at Twitter has experienced tremendous growth over the past few years in terms of size, complexity, number of users, and variety of use cases.

    在推特上的分析平臺在過去數年來就規模、用戶和案例數量而言,已出現巨幅的成長。

    In this paper, we discuss the evolution of our infrastructure and the development of capabilities for data mining on “big data”.

    在本文中,我們討論了「大數據」採礦其基礎建設上的革新和能力上的發展。

    In this context, we discuss two topics:

    在本文中,我們討論兩個主題:

    First, schemas play an important role in helping data scientists understand petabyte-scale data stores, but they’re insufficient to provide an overall “big picture” of the data available to generate insights.

    首先,計劃在協助數據科學家瞭解PB級數據存儲的重要角色,但這仍不足以提供數據上可讓人洞悉其重要性的「大願景」。

    Second, we observe that a major challenge in building data analytics platforms stems from the heterogeneity of the various components that must be integrated together into production workflows—we refer to this as “plumbing”.

    其次,我們觀察到建立不同元件異質性的數據分析平臺出現重大的挑戰,這必需整合數據的製作的工作流中,即為所謂的「數據匯流」。

  • 5 年前

    "analytics platform at Twitter" 在此youtube影片為您做了解釋

    http://youtu.be/Han1hiWs3D4

    Youtube thumbnail

    參考資料: 自己
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