hunter-jin
Follow
Lists (1)
Stars
The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance …
Apache Paimon is a lake format that enables building a Realtime Lakehouse Architecture with Flink and Spark for both streaming and batch operations.
SeaTunnel is a next-generation super high-performance, distributed, massive data integration tool.
该项目整合了多款优秀的开源产品，构建了一个功能全面的数据开发平台。平台提供了强大的数据集成、数据开发、数据查询、数据服务、数据质量管理、工作流调度和元数据管理功能。#dinky #dolphinscheduler #datavines #flinkcdc #openmetadata #flink #数据开发 #数据平台 # 数据开发平台 #大数据
【2024最新版】 大数据 数据分析 电商系统 实时数仓 离线数仓 数据湖 建设方案及实战代码，涉及组件 #flink #paimon #doris #seatunnel #dolphinscheduler #datart #dinky #hudi #iceberg。
Apache Spark - A unified analytics engine for large-scale data processing
Protocol Buffers protobuf maven plugin - based on protoc-jar multi-platform executable protoc JAR
Make stream processing easier! Easy-to-use streaming application development framework and operation platform.
Apache Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log-like data
A high-quality & reliable React Hooks library. https://ahooks.pages.dev/
🏆 Use Ant Design like a Pro!
An enterprise-class UI design language and React UI library
基于 Wujie Micro、UmiJS、React、Vue、Ant Design 5、Vuetify 3 的微前端多媒体采编系统
JDK main-line development https://openjdk.org/projects/jdk
🔒 OpenVPN server in a Docker container complete with an EasyRSA PKI CA
基于react集成bpmn-js的流程引擎作图工具。支持获取流程定义XML。自定义属性面板、自定义platte工具。支持flowable、activiti、camunda等不同协议。遵循MIT开源协议，可用于学习、生产、商业用途。
This project is a react component for bpmn js
一个基于 React + Ant.design + bpmn.js 编写的工作流高阶组件。
🔥 flowable workflow designer based on vue and [email protected]
A compact and highly efficient workflow and Business Process Management (BPM) platform for developers, system admins and business users.
Prometheus Exporter for ValKey & Redis Metrics. Supports ValKey and Redis 2.x, 3.x, 4.x, 5.x, 6.x, and 7.x