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apache / dolphinscheduler

Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
https://dolphinscheduler.apache.org/
Apache License 2.0
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Wanted: Who is using DolphinScheduler #57

Open boandai opened 5 years ago

boandai commented 5 years ago

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, and homepage your city and country. your contact info: blog, email, twitter (at least one). for what business scenario do you use DolphinScheduler.

You can refer to the following sample answer:

* Organization: xueqiu
* Location: Beijing, China
* Contact: bianyulong@163.com
* Scenario: Data task and ETL scheduling platform
* WeChat/Slack:
* Logo Url:

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

sancong commented 5 years ago
ocean-zhc commented 5 years ago
yangqinlong commented 5 years ago

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 commented 5 years ago

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 commented 5 years ago

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

boandai commented 5 years ago

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

chyun commented 5 years ago
XyJan commented 5 years ago
yangning83 commented 5 years ago

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 commented 5 years ago

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。

pczhouhua commented 5 years ago

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 commented 5 years ago

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 commented 5 years ago

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 commented 5 years ago

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

wefuture-icon commented 5 years ago

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

Huangxy2018 commented 5 years ago

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 commented 5 years ago

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 commented 5 years ago

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

wangfann commented 5 years ago

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 commented 5 years ago

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 commented 5 years ago

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 commented 5 years ago

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 commented 5 years ago

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 commented 5 years ago

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

ethqunzhong commented 5 years ago

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 commented 5 years ago

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

zuiaiyuhuashi commented 5 years ago

Organization: Individual Location: Beijing Contact: 674508576@qq.com Scenario: used for big data platform data tasks and ETL scheduling platform

组织：个人 地点：北京 联系方式：674508576@qq.com 场景：用于大数据平台数据任务和ETL调度平台使用

clforzhx commented 5 years ago

Organization: Water droplet mutual aid - data development Location: Beijing Contact: 181229559@qq.com Scenario: used for big data platform data tasks and ETL scheduling platform

组织：水滴互助-数据研发 地点：北京 联系方式：181229559@qq.com 场景：用于大数据平台数据任务和ETL调度平台使用

leiliang163 commented 5 years ago

Organization: Hangzhou Digital Technology Location: Hangzhou, China Contact: leiliang163@163.com Scenario: used for big data AI computing platform, process scheduling and scheduling of tasks

组织：杭州数澜科技 地点：中国杭州 联系方式：leiliang163@163.com 场景：用于大数据AI计算平台，进行任务的流程编排和调度

xiaoyou0254 commented 5 years ago

Organization: ebupt Location: Hangzhou, China Contact: zyy98132@163.com Scenario: Visual Management and Scheduling for Various Tasks of Big Data Platform

组织：ebupt 地点：中国杭州 联系方式：zyy98132@163.com 场景：用于大数据平台各类任务的可视化管理与调度

minghai1984 commented 5 years ago

Organization: Individual Location: Shanghai, China Contact: huangmingreg@163.com Scenario: Selection for big data platform ETL processing, comparison

组织：个人 地点：中国上海 联系方式：huangmingreg@163.com 场景：用于大数据平台ETL处理的选型，对比

chongchongzi commented 5 years ago

Organization: Global Tesco Location: Shenzhen, China Contact: 389401879@qq.com Scenario: Visual Management and Scheduling for Various Tasks of Big Data Platform

组织：环球易购 地点：中国深圳 联系方式：389401879@qq.com 场景：用于大数据平台各类任务的可视化管理与调度

ifuleme commented 5 years ago

Organization: Company sf Location: Chengdu, China Contact: rihaijin@aliyun.com Scenario: The target is applied to the scheduling system and data development of the company's big data product line.

组织：公司sf 地点：中国成都 联系方式：rihaijin@aliyun.com 场景：目标是应用于公司大数据产品线下的调度系统、数据开发等业务

owen800q commented 5 years ago

Orgnizatioin: Hong Kong Telecommunication Location: Hong Kong Contact: kwan@hkinstant.me Purpose: Doing tasks scheduling which is currently used on private cloud platform as a service.

kevinxuk commented 5 years ago

Organization: gcb Location: Guangzhou, China Contact: xk9111@gmail.com Scenario: Big Data Dispatch Platform

组织：gcb 地点：中国广州 联系方式：xk9111@gmail.com 场景：大数据调度平台

sandy27494131 commented 5 years ago

Organization: Personal learning Location: Hangzhou, China Contact: 20481378@qq.com Scenario: Big Data Scheduling

组织：个人学习 地点：中国杭州 联系方式：20481378@qq.com 场景：大数据调度

chinashenkai commented 5 years ago

Organization: 嘀嗒行行 Location: Beijing, China Contact: china.shenkai@gmail.com Scenario: Big Data Task Scheduling Platform

组织：嘀嗒出行 地点：中国北京 联系方式：china.shenkai@gmail.com 场景：大数据任务调度平台

0xqq commented 5 years ago

Organization: bywin.cn Location: Fuzhou, China Contact: leejianmin@aliyun.com Scenario: Knowledge Mapping Task Scheduling Platform

组织：bywin.cn 地点：中国福州 联系方式：leejianmin@aliyun.com 场景：知识图谱任务调度平台

bailgot commented 5 years ago

Organization: UC Location: Shanghai, China Contact: baiqiang@uce.cn Scenario: Used for big data platform task scheduling

组织：UC 地点：中国上海 联系方式：baiqiang@uce.cn 场景：用于大数据平台任务调度

hujiang75277381 commented 5 years ago

Organization: sefonsoft Location: Chengdu, China Contact: hujiang@sefonsoft.com Scenario: Unified Distributed Scheduling Platform

组织：sefonsoft 地点：中国成都 联系方式：hujiang@sefonsoft.com 场景：统一分布式调度平台

audience7510 commented 5 years ago

Organization: anewayer Location: Beijing, China Contact: shiyongming@anewayer.com Scenario: Task scheduling process processing

组织：anewayer 地点：中国北京 联系方式：shiyongming@anewayer.com 场景：任务调度流程处理

lzy305 commented 5 years ago

Organization: China Resources Vanguard Logistics Location: Shenzhen, China Contact: 249466853@qq.com Scenario: used for data task scheduling process processing

组织：华润万家物流 地点：中国深圳 联系方式：249466853@qq.com 场景：用于数据任务调度流程处理

huheng3 commented 5 years ago

Organization: Individual Location: Hefei, China Contact: 297236648@qq.com Scenario: for big data distributed task scheduling

组织：个人 地点：中国合肥 联系方式：297236648@qq.com 场景：用于大数据分布式任务调度

Davidsong1989 commented 5 years ago

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 commented 5 years ago

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 commented 5 years ago

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

zhanghuidouble commented 5 years ago

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 commented 5 years ago

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 commented 5 years ago

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 commented 5 years ago

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