Open boandai opened 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
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
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
Visual Management and Scheduling for Various Tasks of Big Data Platform Brother company is a school?
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。
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。
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
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
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。
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
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
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。
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。
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
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
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
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
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
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。
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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。
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
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