[GitHub] [incubator-hudi] yihua commented on a change in pull request #901: [HUDI-255] Translate Talks & Powered By page

2019-09-24 Thread GitBox
yihua commented on a change in pull request #901: [HUDI-255] Translate Talks & 
Powered By page
URL: https://github.com/apache/incubator-hudi/pull/901#discussion_r327894432
 
 

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-## Adoption
+## 已使用
 
  Uber
 
-Hudi was originally developed at [Uber](https://uber.com), to achieve [low 
latency database ingestion, with high 
efficiency](http://www.slideshare.net/vinothchandar/hadoop-strata-talk-uber-your-hadoop-has-arrived/32).
-It has been in production since Aug 2016, powering ~100 highly business 
critical tables on Hadoop, worth 100s of TBs(including top 10 including 
trips,riders,partners).
-It also powers several incremental Hive ETL pipelines and being currently 
integrated into Uber's data dispersal system.
+Hudi最初由[Uber](https://uber.com)开发,用于实现[低延迟、高效率的数据库摄取](http://www.slideshare.net/vinothchandar/hadoop-strata-talk-uber-your-hadoop-has-arrived/32)。
+Hudi自2016年8月开始在生产环境上线,在Hadoop上驱动约100个非常关键的业务表,支撑约100亿TB的数据规模(前10名包括旅行,乘客,合作伙伴)。
 
 Review comment:
   "100亿TB" => "几百TB"
   "旅行,乘客,合作伙伴" => "行程、乘客、司机" 
   "partners" here refer to driver partners.


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[GitHub] [incubator-hudi] yihua commented on a change in pull request #901: [HUDI-255] Translate Talks & Powered By page

2019-09-24 Thread GitBox
yihua commented on a change in pull request #901: [HUDI-255] Translate Talks & 
Powered By page
URL: https://github.com/apache/incubator-hudi/pull/901#discussion_r327901703
 
 

 ##
 File path: docs/powered_by.cn.md
 ##
 @@ -6,28 +6,27 @@ permalink: powered_by.html
 toc: false
 ---
 
-## Adoption
+## 已使用
 
  Uber
 
-Hudi was originally developed at [Uber](https://uber.com), to achieve [low 
latency database ingestion, with high 
efficiency](http://www.slideshare.net/vinothchandar/hadoop-strata-talk-uber-your-hadoop-has-arrived/32).
-It has been in production since Aug 2016, powering ~100 highly business 
critical tables on Hadoop, worth 100s of TBs(including top 10 including 
trips,riders,partners).
-It also powers several incremental Hive ETL pipelines and being currently 
integrated into Uber's data dispersal system.
+Hudi最初由[Uber](https://uber.com)开发,用于实现[低延迟、高效率的数据库摄取](http://www.slideshare.net/vinothchandar/hadoop-strata-talk-uber-your-hadoop-has-arrived/32)。
+Hudi自2016年8月开始在生产环境上线,在Hadoop上驱动约100个非常关键的业务表,支撑约100亿TB的数据规模(前10名包括旅行,乘客,合作伙伴)。
+Hudi还支持几个增量的Hive ETL管道,并且目前已集成到Uber的数据分发系统中。
 
  EMIS Health
 
-[EMIS Health][https://www.emishealth.com/] is the largest provider of Primary 
Care IT software in the UK with datasets including more than 500Bn healthcare 
records. HUDI is used to manage their analytics dataset in production and 
keeping them up-to-date with their upstream source. Presto is being used to 
query the data written in HUDI format.
+[EMIS 
Health](https://www.emishealth.com/)是英国最大的初级保健IT软件提供商,其数据集包括超过500亿的医疗保健记录。HUDI用于管理生产中的分析数据集,并使其与上游源保持同步。Presto用于查询以HUDI格式写入的数据。
 
 Review comment:
   500Bn: “500亿” => “5000亿” 


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