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#14 mindful machines original series, big data batch storage (1) #108

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white-rabit
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@white-rabit white-rabit commented Oct 21, 2018

(提交翻译请使用下面的模板,其他类型pr请删除)

closes #14

1.译者信息

(转载时的署名信息,有需要请补充)

伯乐在线id 新浪微博

2.疑问区

(可在此区域列举有疑问的语句,提示校对人员重点关注)

  • 对于题目的翻译存疑

3.自查表

  • 确认pr的目标分支是trans分支
  • 确认pr不包含除译文以外的文件
  • 补充评论区closes关键字以关联对应issue
  • 通读文章,确保读者(非译者)能够理解文章内容(语言性,非技术性)
  • 通读文章,确保语句通顺(有疑问语句请在疑问区提出)
  • 符合排版规范要求

4.发布信息(译者无需填写)

发布链接:


@hanxiaomax

@ghost ghost assigned white-rabit Oct 21, 2018
@ghost ghost added the B3-Need review 完成翻译待校对,请至对应的pr认领校对并添加校对中标签 label Oct 21, 2018
@hanxiaomax hanxiaomax self-requested a review October 21, 2018 14:42
@hanxiaomax hanxiaomax added B4-Reviewing 文章正在校对中,完成后评论合入主线并添加C1 and removed B3-Need review 完成翻译待校对,请至对应的pr认领校对并添加校对中标签 labels Oct 21, 2018
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无序列表中有的条目有句号有的没有,我建议都去掉,和原文一致

@@ -0,0 +1,519 @@
# Mindful Machines Original Series, Big Data: Batch Storage
# 正念机器原创系列之大数据:批量存储
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Mindful Machines不用翻译


You’ve got a lot of data coming in you and you want to store it somewhere for future analysis? Where do you put it all? In this post we go over the myriad of options out there and how they stack against each other. This isn’t a complete list of available technologies but rather the highlight reel that, among other things, explicitly avoids enterprise solutions although does cover PaaS.

你有很多数据并且打算把它们存储起来以备将来分析吗?你准备如何存储这些数据?在这篇文章中,我们将讨论各种数据存储方案,以及他们之间的联系。下文并非为了提供一个所有可行技术的完整清单,而是讨论一些技术亮点。尽管涉及 PaaS,但本文会特别避免讨论企业级解决方案。
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Suggested change
你有很多数据并且打算把它们存储起来以备将来分析吗?你准备如何存储这些数据?在这篇文章中,我们将讨论各种数据存储方案,以及他们之间的联系。下文并非为了提供一个所有可行技术的完整清单,而是讨论一些技术亮点。尽管涉及 PaaS,但本文会特别避免讨论企业级解决方案。
你有很多数据并且打算把它们存储起来以备将来分析吗?你准备如何存储这些数据?在这篇文章中,我们将讨论各种数据存储方案,以及它们之间的联系。下文并非为了提供一个所有可行技术的完整清单,而是讨论一些技术亮点。尽管涉及 PaaS,但本文会特别避免讨论企业级解决方案。

- 行级更新和插入
- 需要结构化数据。一些数据库也支持自由格式的 JSON 字段
- 可扩展至大数据规模
- 纵向上:现代机器可以相当大,所以即使一台机器也能存储显著的数据。
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Suggested change
- 纵向上:现代机器可以相当大,所以即使一台机器也能存储显著的数据。
- 纵向上:现代机器的存储空间可以相当大,所以即使一台机器也能存储显著的数据。

英文省略的中文要注意补齐


[Amazon S3](https://aws.amazon.com/s3):一个由 Amazon 提供的全托管对象/文件存储平台
- 专有的 PaaS
- 分布式,高可用性(99.99%)和容错性(11 9)
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Suggested change
- 分布式,高可用性(99.99%)和容错性(11 9
- 分布式,高可用性(99.99%)和容错性(99.999999999%


[Azure Blob Storage](https://azure.microsoft.com/en-us/services/storage/blobs):由 Azure 提供的类似于 S3 的对象/文件存储平台
- 专有的 PaaS
- 分布式的、高度可用的(99.99%)以及容错的(根据复制配置的不同,可达到 11 9 或者更高)
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Suggested change
- 分布式的、高度可用的(99.99%)以及容错的(根据复制配置的不同,可达到 11 9 或者更高)
- 分布式的、高度可用的(99.99%)以及容错的(根据复制配置的不同,可达到99.999999999%(11个9)或者更高)

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后面还有一些类似的

…torage (1).md

更改题目翻译,删除列表末尾句号,改变11 9 的表示方式。
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666

@hanxiaomax hanxiaomax added C1-Finished 校对完成,待发布 and removed B4-Reviewing 文章正在校对中,完成后评论合入主线并添加C1 labels Oct 28, 2018
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图片不用下载下来,直接用原文的链接即可。

![](https://static1.squarespace.com/static/565272dee4b02fdfadbb3d38/t/5abd436f575d1f4c80636747/1522353024477/bigdatabatchstorage2.png?format=750w)

我来改吧

@ghost ghost assigned hanxiaomax Oct 28, 2018
@hanxiaomax hanxiaomax merged commit d42352c into jobbole:trans Oct 28, 2018
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Mindful Machines Original Series, Big Data: Batch Storage (1)
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