Wanted: Who is using DolphinScheduler #57

boandai · 2019-04-15T05:36:19Z

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

We’d like to listen to the community to make DolphinScheduler better.
We want to attract more partners to contribute to DolphinScheduler.
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: [email protected]
* 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 · 2019-04-15T06:24:08Z

Organization: IdeaWin
Location: Xi'an, China
Contact: [email protected]
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：[email protected]
场景：用于云计算平台，进行任务的流程编排和调度

ocean-zhc · 2019-04-15T08:00:00Z

Organization: Aisino
Location: Hefei, China
Contact: [email protected]
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：[email protected]
场景：用于大数据平台各类任务的可视化管理与调度

yangqinlong · 2019-04-16T03:48:51Z

Organization: DataBuring
Location: Beijing, China
Contact: [email protected]
Scenario: for big data platform ETL processing

组织：DataBuring
地点：中国北京
联系方式：[email protected]
场景：用于大数据平台ETL处理

allantaylor81 · 2019-04-18T08:29:18Z

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 · 2019-04-18T10:26:40Z

Organization: chinasoft
Location: Beijing, China
Contact: [email protected]
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：[email protected]
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 · 2019-04-18T13:19:56Z

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

chyun · 2019-04-19T06:17:26Z

Organization: shulidata
Location: Hangzhou, China
Contact: [email protected]
Scenario: for big data platform ETL processing

组织：shulidata
地点：中国杭州
联系方式：[email protected]
场景：用于大数据平台ETL处理

XyJan · 2019-04-19T06:31:36Z

Organization: Shenzhen Carbon Atom
Location: Shenzhen, China
Contact: [email protected]
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：[email protected]
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 · 2019-04-19T09:49:19Z

Organization: No
Location: Dalian, Liaoning, China
Contact: [email protected]
Scenario: Visual management and scheduling for tasks.

组织：暂无
地点：中国辽宁大连
联系方式：[email protected]
场景：用于任务的可视化管理与调度。

roy110 · 2019-04-22T02:41:30Z

Organization: Zhongda University
Location: Guangzhou, China
Contact: [email protected]
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：[email protected]
场景：用于运维平台的任务的可视化管理与调度。

pczhouhua · 2019-04-22T14:32:17Z

Organization: geton
Location: Shanghai, China
Contact: [email protected]
Scenario: Visual management and scheduling for various tasks

组织：geton
地点：中国上海
联系方式：[email protected]
场景：用于各类任务的可视化管理与调度

kevin5210 · 2019-04-23T03:29:10Z

Organization: cttc
Location: Harbin, China
Contact: [email protected]
Scenario: Visual management and scheduling for various tasks

组织：cttc
地点：中国哈尔滨
联系方式：[email protected]
场景：用于各类任务的可视化管理与调度

linzhaoyang6688 · 2019-04-23T03:35:31Z

Organization: qutke
Location: Xiamen, China
Contact: [email protected]
Scenario: Task scheduling and visual management for the data platform.

组织：qutke
地点：中国厦门
联系方式：[email protected]
场景：用于数据平台的任务调度和可视化管理。

wuliyong225 · 2019-04-24T08:11:47Z

Organization: giantstone
Location: Changsha, China
Contact: [email protected]
Scenario: for big data platform ETL processing

组织：giantstone
地点：中国长沙
联系方式：[email protected]
场景：用于大数据平台ETL处理

wefuture-icon · 2019-04-25T07:56:28Z

Organization: Micro Technology
Location: Nanjing, Jiangsu, China
Contact: [email protected]
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：[email protected]
场景：用于任务的可视化管理与调度

Huangxy2018 · 2019-04-26T15:09:51Z

Organization: Chinsoft
Location: Beijing
Contact: [email protected]
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：[email protected]
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 · 2019-04-28T03:03:48Z

Organization: Jiangsu Tianchuang
Location: Suzhou, Jiangsu
Contact: [email protected]
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：[email protected]
场景：用于大规模视频流处理的ETL开发，管理。

vblvbl · 2019-04-29T08:45:15Z

Organization: Individual
Location: Beijing
Contact: [email protected]
Scenario: Distributed etl scheduling system research

组织：个人
地点：北京
联系方式：[email protected]
场景：分布式etl调度系统调研

wangfann · 2019-04-30T03:46:40Z

Organization: Individual
Location: Beijing
Contact: [email protected]
Scenario: Distributed etl scheduling system research

组织：个人
地点：北京
联系方式：[email protected]
场景：分布式etl调度系统调研

y1170328179s · 2019-04-30T06:18:34Z

Organization: Individual
Location: Beijing
Contact: [email protected]
Scenario: Personal research distributed big data scheduling

组织:个人
地点:北京
联系方式:[email protected]
场景:个人研究分布式大数据调度组建

zhangpeng1990618 · 2019-04-30T06:41:35Z

Organization: 哗啦啦
Location: Beijing
Contact: [email protected]
Scenario: Big Data Platform Task Scheduling Tool

组织:哗啦啦
地点:北京
联系方式:[email protected]
场景:大数据平台任务调度工具

ylgkger · 2019-04-30T13:33:40Z

Organization: Individual
Location: Hangzhou
Contact: [email protected]
Scenario: Initial application for big data platform ETL

组织：个人
地点：杭州
联系方式：[email protected]
场景：用于大数据平台ETL初步应用

echmi · 2019-05-05T08:17:37Z

Organization: Individual
Location: Wuhan
Contact: [email protected]
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：[email protected]
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 · 2019-05-05T09:44:17Z

Organization: alpcontrol
Location: Qingdao, China
Contact: [email protected]
Scenario: used by common ETL scheduling platforms

组织：alpcontrol
地点：中国青岛
联系方式： [email protected]
场景：用于常见ETL调度平台使用

ethqunzhong · 2019-05-06T08:44:41Z

Organization: Individual
Location: Beijing, China
Contact: [email protected]
Scenario: User AI platform back-end task scheduling

组织：个人
地点：中国北京
联系方式： [email protected]
场景：用户AI平台后端任务调度

free-souls · 2019-05-06T10:23:55Z

Organization: xueqiu
Location: Beijing, China
Contact: [email protected]
Scenario: Data task and ETL scheduling platform use

组织：雪球
地点：中国北京
联系方式： [email protected]
场景：数据任务和ETL调度平台使用

mgduoduo · 2021-12-15T10:32:07Z

Organization: Bus Steward (https://www.chebada.com/)
Location: Suzhou, China
Contact: [email protected]
Scenario: Data task and ETL scheduling management

组织：巴士管家
地点：中国苏州
联系方式：[email protected]
场景：数据任务及ETL任务调度管理

yhhmo · 2022-01-05T02:21:02Z

Organization: ZcKj
Location: HaiKou, China
Contact: [email protected]
Scenario: Data task and ETL scheduling platform

组织：众澄科技
地点：中国海口
联系方式：[email protected]
场景：数据任务及ETL任务调度管理

Jasong321 · 2022-01-05T15:13:19Z

Organization: Yunda
Location: Shanghai, China
Contact: [email protected]
Scenario: ETL scheduling platform

组织：韵达
地点：中国上海
联系方式：[email protected]
场景：ETL调度管理平台

chenshuai1995 · 2022-01-06T07:59:08Z

Organization: 2345
Location: ShangHai, China
Contact: [email protected]
Scenario: used for data middle platform and algorithm middle platform, process scheduling of tasks

组织：上海二三四五网络科技有限公司
地点：中国上海
联系方式：[email protected]
场景：用于数据中台和算法中台的任务调度

wushanru · 2022-01-07T05:12:46Z

组织：卓繁信息
地点：上海
联系方式：[email protected]
场景：用于政务领域任务调度、任务汇总统计

Aaronoooooo · 2022-01-08T13:47:06Z

Organization: Aurora
Location: Shenzheng, Guangdong, China
Contact: [email protected]
Scenario: Data task and ETL scheduling platform

luketalent · 2022-01-17T03:56:27Z

Organization: Access
Location: HangZhou, China
Contact: [email protected]
Scenario: Data task and ETL scheduling platform

组织：杭州艾柯塞斯品牌管理有限公司
地点：中国杭州
联系方式：[email protected]
场景：用于数据中台任务调度

1811A · 2022-01-17T05:50:33Z

组织：百诚慧通
地点：中国合肥
联系方式：[email protected]
场景：用于智慧交通模型任务

lovingfeel · 2022-01-17T12:54:47Z

Organization: Chongqing Power Network
Location: ChongQing, China
Contact: [email protected]
Scenario: Visual management and scheduling for various tasks of the big data platform

组织：重庆电网
地点：中国重庆
联系方式：[email protected]
场景：用于大数据平台各类任务的可视化管理与调度

darrkz · 2022-01-20T10:31:23Z

Organization: Electronic Soul
Location: Hangzhou, China
Contact: [email protected]
Scenario: management and scheduling for various tasks of the big data platform

组织：杭州电魂网络
地点：中国浙江杭州
联系方式：[email protected]
场景：用于大数据平任务的可视化管理与调度

zhuxt2015 · 2022-06-24T01:06:28Z

Organization: YILI
Location: BeiJing China
Contact: [email protected]
Scenario: ETL scheduling platform

组织：伊利集团
地点：中国北京
联系方式：[email protected]
场景：ETL调度管理平台

xiaojiu504 · 2022-08-12T09:19:37Z

组织：好好住
地点：中国北京
联系方式：[email protected]
场景：数据任务调度

zhumengdetianshi · 2022-08-17T02:21:35Z

Organization: mirrorego
Location: Shenzhen China
Contact: [email protected]
Scenario: Task scheduling platform,for bigdata offline tasks and AI tasks

组织：镜象科技
地点：中国深圳
联系方式：[email protected]
场景：任务调度平台，主要用于大数据离线任务和AI相关任务

764276020 · 2022-12-30T09:30:41Z

Organization: Netease
Location: GuangZhou, China
Contact: [email protected]
Scenario: Visual management and scheduling for various tasks of the big data platform

组织：网易
地点：中国广东广州
联系方式：[email protected]
场景：用于大数据平台各类任务的可视化管理与调度

liangziqiang · 2023-03-06T04:50:31Z

Organization: longi
Location: XiAn, China
Contact: [email protected]
Scenario: Visual management and scheduling for various tasks of the big data platform

组织：隆基l绿能
地点：中国西安
联系方式：[email protected]
场景：用于大数据平台各类任务的可视化管理与调度

baratamavinash225 · 2023-09-22T18:29:22Z

Organization: Tesco
Location: India
Contact: [email protected]
Scenario: Using for the Scheduling the Spark jobs, buildign auto deployment of workflows through our CLI commands

ediconss · 2024-01-15T06:16:01Z

Organization: Chongqing HJ Fruit
Location: ChongQing, China
Contact: [email protected]
Scenario: Visual management and scheduling for various tasks of the big data platform

组织：洪九果品
地点：中国重庆
联系方式：[email protected]
场景：用于大数据平台各类任务的可视化管理与调度

daymickcorr · 2024-05-03T03:12:32Z

Organization: home user
Location: Canada, Montreal
Contact: [email protected]
Scenario: System Operations

github-actions · 2024-07-26T00:22:30Z

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Wanted: Who is using DolphinScheduler #57

Wanted: Who is using DolphinScheduler #57

Comments

boandai commented Apr 15, 2019 • edited by nielifeng Loading

Who is using DolphinScheduler

The original intention of this issue

What we expect from you

sancong commented Apr 15, 2019 • edited by zhangmeng0428 Loading

ocean-zhc commented Apr 15, 2019 • edited by zhangmeng0428 Loading

yangqinlong commented Apr 16, 2019 • edited by zhangmeng0428 Loading

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