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Wanted: Who is using DolphinScheduler #57

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boandai opened this issue Apr 15, 2019 · 69 comments
Open

Wanted: Who is using DolphinScheduler #57

boandai opened this issue Apr 15, 2019 · 69 comments

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@boandai
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@boandai boandai commented Apr 15, 2019

Who is using DolphinScheduler

Sincerely thank everyone who constantly keeps on using and supporting DolphinScheduler. We will try our best to make DolphinScheduler better and make the DolphinScheduler community and ecology more prosperous.

The original intention of this issue

  1. We’d like to listen to the community to make DolphinScheduler better.
  2. We want to attract more partners to contribute to DolphinScheduler.
  3. Learn more about the practical use scenarios of DolphinScheduler to facilitate the next step of planning.

What we expect from you

Please submit a comment in this issue to include the following infomation:

your company, school or organization.
your city and country.
your contact info: blog, email, twitter (at least one).
for what business scenario do you use EasyScheduler.

You can refer to the following sample answer:

* Orgnizatioin: Analysys
* Location: Beijing, China
* Contact: lidong.dai@outlook.com
* Purpose: As a visual DAG workflow task scheduling commonly used in data processing, it is used in multiple products years ago.

Thanks again for your participation ! Your support is the motivation for us to move forward.
DolphinScheduler Community

谁在使用DolphinScheduler

诚挚地感谢每一位持续关注并使用DolphinScheduler的朋友。我们会持续投入,力图把DolphinScheduler做得更好,让DolphinScheduler社区和生态更加繁荣。

此Issue的出发点

  1. 聆听社区的声音,让DolphinScheduler更好
  2. 吸引更多的伙伴来参与贡献
  3. 更多的了解DolphinScheduler的实际使用场景,以方便下一步的规划

我们期待您能提供

在此提交一条评论, 评论内容包括:

您所在公司、学校或组织
您所在的城市、国家
您的联系方式: 微博、邮箱、微信 (至少一个)
您将DolphinScheduler用于哪些业务场景

您可以参考下面的样例来提供您的信息:

* 组织:易观
* 地点:中国北京
* 联系方式:dailidong66@gmail.com
* 场景:作为一个数据处理中常用的可视化DAG工作流任务调度长期使用在多个线上产品中

再次感谢你的参与!!! 您的支持是我们前进的强大动力!!
DolphinScheduler 社区

@lyf198972

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@lyf198972 lyf198972 commented Apr 15, 2019

  • Organization: IdeaWin
  • Location: Xi'an, China
  • Contact: 619019206@qq.com
  • Scenario: used for cloud computing platform, process scheduling and scheduling of tasks

  • 组织:IdeaWin
  • 地点:中国西安
  • 联系方式:619019206@qq.com
  • 场景:用于云计算平台,进行任务的流程编排和调度
@zhanghaicheng1

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@zhanghaicheng1 zhanghaicheng1 commented Apr 15, 2019

  • Organization: Aisino
  • Location: Hefei, China
  • Contact: zhanghc0532@gmail.com
  • Scenario: Visual management and scheduling for various tasks of the big data platform

  • 组织:Aisino
  • 地点:中国合肥
  • 联系方式:zhanghc0532@gmail.com
  • 场景:用于大数据平台各类任务的可视化管理与调度
@yangqinlong

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@yangqinlong yangqinlong commented Apr 16, 2019

Organization: DataBuring
Location: Beijing, China
Contact: yqlong000@163.com
Scenario: for big data platform ETL processing


组织:DataBuring
地点:中国北京
联系方式:yqlong000@163.com
场景:用于大数据平台ETL处理

@allantaylor81

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@allantaylor81 allantaylor81 commented Apr 18, 2019

Visual management and scheduling for various tasks of big data platform


用于大数据平台各类任务的可视化管理与调度

@livionlj

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@livionlj livionlj commented Apr 18, 2019

Organization: chinasoft
Location: Beijing, China
Contact: 631709547@qq.com
Scenario: Visual scheduling and task processing for high-concurrency environments in big data platforms


组织:chinasoft
地点:中国北京
联系方式:631709547@qq.com
场景:用于大数据平台高并发环境的可视化调度及任务处理

@apache apache deleted a comment from dailidong Apr 18, 2019
@boandai

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@boandai boandai commented Apr 18, 2019

Visual Management and Scheduling for Various Tasks of Big Data Platform
  Brother company is a school?


用于大数据平台各类任务的可视化管理与调度
兄弟公司是育学园?

@chyun

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@chyun chyun commented Apr 19, 2019

  • Organization: shulidata
  • Location: Hangzhou, China
  • Contact: liqun.w054@shulidata.com
  • Scenario: for big data platform ETL processing

  • 组织:shulidata
  • 地点:中国杭州
  • 联系方式:liqun.w054@shulidata.com
  • 场景:用于大数据平台ETL处理
@XyJan

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@XyJan XyJan commented Apr 19, 2019

  • Organization: Shenzhen Carbon Atom
  • Location: Shenzhen, China
  • Contact: jan@seeapp.com
  • Scenario: Distributed ETL development for big data platforms, hope to support components such as hive, spark, and support DAG management.

  • 组织:深圳碳原子
  • 地点:中国深圳
  • 联系方式:jan@seeapp.com
  • 场景:用于大数据平台的分布式ETL开发,希望支持hive,spark等组件,支持DAG管理。
@yangning83

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@yangning83 yangning83 commented Apr 19, 2019

Organization: No
Location: Dalian, Liaoning, China
Contact: 123424930@qq.com
Scenario: Visual management and scheduling for tasks.


组织:暂无
地点:中国辽宁大连
联系方式:123424930@qq.com
场景:用于任务的可视化管理与调度。

@roy110

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@roy110 roy110 commented Apr 22, 2019

Organization: Zhongda University
Location: Guangzhou, China
Contact: 190178867@qq.com
Scenario: Visual management and scheduling of tasks for the operation and maintenance platform.


组织:中大
地点:中国广州
联系方式:190178867@qq.com
场景:用于运维平台的任务的可视化管理与调度。

@boandai boandai pinned this issue Apr 22, 2019
@qiaozhanwei qiaozhanwei unpinned this issue Apr 22, 2019
@pczhouhua

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@pczhouhua pczhouhua commented Apr 22, 2019

Organization: geton
Location: Shanghai, China
Contact: 46526682@qq.com
Scenario: Visual management and scheduling for various tasks


组织:geton
地点:中国上海
联系方式:46526682@qq.com
场景:用于各类任务的可视化管理与调度

@kevin5210

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@kevin5210 kevin5210 commented Apr 23, 2019

Organization: cttc
Location: Harbin, China
Contact: binda5210@163.com
Scenario: Visual management and scheduling for various tasks


组织:cttc
地点:中国哈尔滨
联系方式:bida5210@163.com
场景:用于各类任务的可视化管理与调度

@linzhaoyang6688

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@linzhaoyang6688 linzhaoyang6688 commented Apr 23, 2019

Organization: qutke
Location: Xiamen, China
Contact: 1556295727@qq.com
Scenario: Task scheduling and visual management for the data platform.


组织:qutke
地点:中国厦门
联系方式:1556295727@qq.com
场景:用于数据平台的任务调度和可视化管理。

@wuliyong225

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@wuliyong225 wuliyong225 commented Apr 24, 2019

Organization: giantstone
Location: Changsha, China
Contact: wuliyong225@163.com
Scenario: for big data platform ETL processing


组织:giantstone
地点:中国长沙
联系方式:wuliyong225@163.com
场景:用于大数据平台ETL处理

@yuexuejun

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@yuexuejun yuexuejun commented Apr 25, 2019

Organization: Micro Technology
Location: Nanjing, Jiangsu, China
Contact: 3947615@qq.com
Scenario: Visual management and scheduling for tasks


组织:微未科技
地点:中国江苏南京
联系方式:3947615@qq.com
场景:用于任务的可视化管理与调度

@boandai boandai pinned this issue Apr 25, 2019
@Huangxy2018

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@Huangxy2018 Huangxy2018 commented Apr 26, 2019

Organization: Chinsoft
Location: Beijing
Contact: hxy7577326@163.com
Scenario: Distributed ETL development for big data platforms, hope to support components such as hive, spark, and support DAG management.


组织:Chinsoft
地点:北京
联系方式:hxy7577326@163.com
场景:用于大数据平台的分布式ETL开发,希望支持hive,spark等组件,支持DAG管理。

@bobzhangfw

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@bobzhangfw bobzhangfw commented Apr 28, 2019

Organization: Jiangsu Tianchuang
Location: Suzhou, Jiangsu
Contact: 110055885@qq.com
Scenario: ETL development and management for large-scale video stream processing.


组织:江苏天创
地点:江苏苏州
联系方式:110055885@qq.com
场景:用于大规模视频流处理的ETL开发,管理。

@vblvbl

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@vblvbl vblvbl commented Apr 29, 2019

Organization: Individual
Location: Beijing
Contact: 67011332@qq.com
Scenario: Distributed etl scheduling system research


组织:个人
地点:北京
联系方式:67011332@qq.com
场景:分布式etl调度系统调研

@Stanfan

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@Stanfan Stanfan commented Apr 30, 2019

Organization: Individual
Location: Beijing
Contact: wangfan15@126.com
Scenario: Distributed etl scheduling system research


组织:个人
地点:北京
联系方式:wangfan15@126.com
场景:分布式etl调度系统调研

@y1170328179s

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@y1170328179s y1170328179s commented Apr 30, 2019

Organization: Individual
Location: Beijing
Contact: 1225833493@qq.com
Scenario: Personal research distributed big data scheduling


组织:个人
地点:北京
联系方式:1225833493@qq.com
场景:个人研究分布式大数据调度组建

@zhangpeng1990618

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@zhangpeng1990618 zhangpeng1990618 commented Apr 30, 2019

Organization: 哗啦啦
Location: Beijing
Contact: 17071400190@163.com
Scenario: Big Data Platform Task Scheduling Tool


组织:哗啦啦
地点:北京
联系方式:17071400190@163.com
场景:大数据平台任务调度工具

@ylgkger

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@ylgkger ylgkger commented Apr 30, 2019

Organization: Individual
Location: Hangzhou
Contact: 594386080@qq.com
Scenario: Initial application for big data platform ETL


组织:个人
地点:杭州
联系方式:594386080@qq.com
场景:用于大数据平台ETL初步应用

@echmi

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@echmi echmi commented May 5, 2019

Organization: Individual
Location: Wuhan
Contact: hank.you@qq.com
Scenario: Used in the cloud computing platform to perform task scheduling and scheduling learning and research.


组织:个人
地点:武汉
联系方式:hank.you@qq.com
场景:用于云计算平台,进行任务的流程编排和调度学习和研究。

@zhangshun0530

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@zhangshun0530 zhangshun0530 commented May 5, 2019

Organization: alpcontrol
Location: Qingdao, China
Contact: zhangshun0530@gmail.com
Scenario: used by common ETL scheduling platforms


组织:alpcontrol
地点:中国青岛
联系方式: zhangshun0530@gmail.com
场景:用于常见ETL调度平台使用

@thiszyq

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@thiszyq thiszyq commented May 6, 2019

Organization: Individual
Location: Beijing, China
Contact: zyqbit@163.com
Scenario: User AI platform back-end task scheduling


组织:个人
地点:中国北京
联系方式: zyqbit@163.com
场景:用户AI平台后端任务调度

@free-souls

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@free-souls free-souls commented May 6, 2019

Organization: xueqiu
Location: Beijing, China
Contact: bianyulong@163.com
Scenario: Data task and ETL scheduling platform use


组织:雪球
地点:中国北京
联系方式: bianyulong@163.com
场景:数据任务和ETL调度平台使用

@Davidsong1989

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@Davidsong1989 Davidsong1989 commented Jul 18, 2019

Organization: Eastcom North Post
Location: Nanjing
Contact: Davidsong1989@163.com
Scenario: for big data task scheduling


组织:东信北邮
地点:南京
联系方式:Davidsong1989@163.com
场景:用于大数据任务调度

@data-yangmengfei

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@data-yangmengfei data-yangmengfei commented Jul 18, 2019

Organization: 叽里呱啦
Location: Shanghai, China
Contact: yangmengfei@jiliguala.com
Scenario: for big data distributed task scheduling


组织:叽里呱啦
地点:中国上海
联系方式:yangmengfei@jiliguala.com
场景:用于大数据分布式任务调度

@tzx-xzt

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@tzx-xzt tzx-xzt commented Jul 23, 2019

Organization: Yun Xuetang
Location: Suzhou, China
Contact: tangzx@yxt.com
Scenario: for big data distributed task scheduling


组织:云学堂
地点:中国苏州
联系方式:tangzx@yxt.com
场景:用于大数据分布式任务调度

@boandai boandai added this to Requirement(需求) in DolphinScheduler Work Plan via automation Jul 29, 2019
@zhanghuidouble

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@zhanghuidouble zhanghuidouble commented Aug 8, 2019

Organization: QianliRiCheng
Location: Beijing, China
Contact: zhanghuidouble@163.com
Scenario: for big data distributed task scheduling

组织:北京千里日程广告有限公司
地点:中国北京
联系方式:zhanghuidouble@163.com
场景:用于大数据分布式任务调度

@cwm3412638

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@cwm3412638 cwm3412638 commented Aug 9, 2019

组织:云南群林科技有限公司
地点:云南
联系方式:cwm3412638@163.com
场景:用于大数据分布式任务调度

@AronChung

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@AronChung AronChung commented Aug 10, 2019

Organization: Individual
Location: GuangZhou, China
Contact: zcm482@live.com
Scenario: Selection for big data platform ETL processing, comparison


组织:个人
地点:广州
联系方式:zcm482@live.com
场景:用于大规模视频流处理的ETL开发,管理。

@chongchongzi

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@chongchongzi chongchongzi commented Aug 13, 2019

组织:深圳市环球易购电子商务有限公司
地点:深圳
联系方式:389401879@qq.com
场景:用于分布式任务调度

@xiej23

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@xiej23 xiej23 commented Sep 3, 2019

Organization: himango
Location: Changsha, China
Contact: xiejuan@himango.cn
Scenario: offline computing tasks scheduling

组织:芒果听见
地点:中国长沙
联系方式:xiejuan@himango.cn
场景:离线计算任务调度

@liu295849610

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@liu295849610 liu295849610 commented Sep 12, 2019

组织:个人
地点:重庆
联系方式:1605079576@qq.com
场景:希望通过任务调度脚本 ,分析元数据依赖关系

@hjk0205

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@hjk0205 hjk0205 commented Sep 17, 2019

组织:个人
地点:厦门
联系方式:523250771@qq.com
场景:对比与airflow的优劣

@AmourST

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@AmourST AmourST commented Sep 18, 2019

组织:杭州大箴
地点:中国杭州
联系方式:luokj@dazhenyun.cn
场景:大数据平台调度

@hnuxbl

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@hnuxbl hnuxbl commented Sep 19, 2019

组织:美团点评
地点:中国北京
联系方式:hnuxbl@163.com
场景:大数据平台调度

@iamnotgay

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@iamnotgay iamnotgay commented Sep 19, 2019

Organization: xiaobangguihua
Location: BeiJing, China
Contact: iamsanmao@126.com

组织:小帮规划
地点:中国北京
联系方式:iamsanmao@126.com
场景:大数据平台调度

@feihegao

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@feihegao feihegao commented Sep 20, 2019

组织:平安智慧城市
地点:中国深圳
联系方式:249251718@qq.com
场景:大数据平台调度

@w771920097

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@w771920097 w771920097 commented Sep 23, 2019

Organization: tianque
Location: Hangzhou
Contact: w771920097@qq.com
Scenario: for big data task scheduling


组织:tianque
地点:杭州
联系方式:w771920097@qq.com
场景:用于大数据任务调度

@Yeleights

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@Yeleights Yeleights commented Sep 30, 2019

Organization: CHANGAN AUTOMOBILE
Location: Chongqing
Contact: yelli.hl@foxmail.com
Scenario: batch scheduling

组织:长安汽车
地点:重庆
联系方式:yelli.hl@foxmail.com
场景:数据平台调度工具

@dailidong dailidong changed the title Wanted: Who is using EasyScheduler Wanted: Who is using DolphinScheduler Oct 13, 2019
@elonlo

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@elonlo elonlo commented Oct 18, 2019

Organization: Fordeal
Location: Guangzhou, China
Contact: dashi@fordeal.com
Scenario: Scheduling for all tasks on the data platform

组织:Fordeal
地点:中国广州
联系方式:dashi@fordeal.com
场景:用于数据平台所有任务的调度处理

@ShiXiaoQiangGitHub

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@ShiXiaoQiangGitHub ShiXiaoQiangGitHub commented Oct 22, 2019

组织:某教育
地点:中国北京
联系方式:805166097@qq.com
场景:项目中的定时任务统一管理并有一个可视化界面

@Pekaoseya

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@Pekaoseya Pekaoseya commented Nov 5, 2019

Organization: hzing
Location: Hangzhou, China
Contact: 15172429595@163.com
Scenario: For data collation and centralized display in projects

组织:杭州盈格信息技术公司
地点:中国杭州
联系方式:15172429595@163.com
场景:项目中用于数据整理和集中显示

@dailidong dailidong unpinned this issue Nov 12, 2019
@dailidong dailidong pinned this issue Nov 29, 2019
@nauu

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@nauu nauu commented Dec 12, 2019

  • Orgnizatioin: ygsoft
  • Location: Zhuhai、Wuhan、Beijing, China
  • Contact: boness@qq.com
  • Purpose: Bigdata scheduling platform
@billwang828

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@billwang828 billwang828 commented Dec 18, 2019

Organization: BaiWang Company limited
Location: Beijing, China
Contact: wangyongfu@baiwang.com
Scenario: Scheduling for all tasks on the data platform

组织:百望股份有限公司
地点:中国北京
联系方式:wangyongfu@baiwang.com
场景:用于大数据平台所有任务的调度

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@mojinxiaowei-li mojinxiaowei-li commented Dec 19, 2019

Organization: iQuantex
Location: Beijing, China
Contact: lqfqq08@126.com
Scenario: Scheduling system for big data management platform

组织:iQuantex
地点:中国北京
联系方式:lqfqq08@126.com
场景:用于大数据管理平台的调度系统

@blackberrier

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@blackberrier blackberrier commented Dec 24, 2019

组织:华为
地点:中国杭州
联系方式:2232076967@qq.com
场景:调研大数据平台的任务调度系统

@617001885

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@617001885 617001885 commented Dec 31, 2019

组织:海思瑞格
地点:中国北京
联系方式:617001885@qq.com
场景:大数据任务调度

@herryhw

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@herryhw herryhw commented Jan 5, 2020

组织:Recloud
地点:中国苏州
联系方式:1172488313@qq.com
场景:用于大数据平台任务调度

@drinkatmoon

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@drinkatmoon drinkatmoon commented Jan 10, 2020

Organization: pica
Location: shanghai, China
Contact: drinkatmoon@sina.cn
Scenario: universal scheduling platform for Big Data

组织:云鹊医
地点:中国上海
联系方式:drinkatmoon@sina.cn
场景:大数据通用调度平台

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