董国升's repositories
ambari
Apache Ambari simplifies provisioning, managing, and monitoring of Apache Hadoop clusters.
BigDataPlatform
BigDataPlatform：基于大数据、数据平台、微服务、机器学习、商城、自动化运维、DevOps、容器部署平台、数据平台采集、数据平台存储、数据平台计算、数据平台开发、数据平台应用搭建的大数据解决方案。
DataSphereStudio
DataSphereStudio is a one stop data application development& management portal, covering scenarios including data exchange, desensitization/cleansing, analysis/mining, quality measurement, visualization, and task scheduling.
DataV
Vue数据可视化组件库（类似阿里DataV，大屏数据展示），提供SVG的边框及装饰、图表、水位图、飞线图等组件，简单易用，长期更新(React版已发布)
datax-web
DataX集成可视化页面，选择数据源即可一键生成数据同步任务，支持批量创建RDBMS数据同步任务，集成开源调度系统，支持分布式、增量同步数据、实时查看运行日志、监控执行器资源、KILL运行进程、数据源信息加密等。
datax-web-ui
DataX Web UI
doris
Apache Doris is an easy-to-use, high performance and unified analytics database.
electron-ssr-backup
electron-ssr原作者删除了这个伟大的项目，故备份了下来，不继续开发,且用且珍惜
face-recognition-server
使用es实现人脸识别
flink
Apache Flink
FlinkSQL
仿照阿里blink使用sql开发flink的实时程序
flinkx
基于flink的分布式数据同步工具
hudi
Upserts, Deletes And Incremental Processing on Big Data.
incubator-dolphinscheduler
Dolphin Scheduler is a distributed and easy-to-extend visual workflow scheduling platform, dedicated to solving the complex dependencies in data processing, making the scheduling system out of the box for data processing.(分布式易扩展的可视化工作流任务调度)
JSqlParser
JSqlParser parses an SQL statement and translate it into a hierarchy of Java classes. The generated hierarchy can be navigated using the Visitor Pattern
PaddleNLP
Easy-to-use and powerful NLP library with Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including Neural Search, Question Answering, Information Extraction and Sentiment Analysis end-to-end system.
Pal3.Unity
The Legend of Sword and Fairy 3 (仙剑奇侠传三) & The Legend of Sword and Fairy 3 Gaiden: Wenqing Pian (仙剑奇侠传三外传：问情篇) re-implementation using C#/Unity
senser
Demo Project opencv + Flink streaming
streamx
Make Flink|Spark easier!!! The original intention of StreamX is to make the development of Flink easier. StreamX focuses on the management of development phases and tasks. Our ultimate goal is to build a one-stop big data solution integrating stream processing, batch processing, data warehouse and data laker.