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😮 互联网 Java 工程师进阶知识完全扫盲:涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识,后端同学必看,前端同学也可学习
算法模板,最科学的刷题方式,最快速的刷题路径,你值得拥有~
💎🔥大数据学习笔记
大数据入门指南 :star:
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
DSS covers scenarios including data exchange, desensitization/cleansing, analysis/mining, quality measurement, visualization, task scheduling and data exporting.
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。
Apache DolphinScheduler 安装 升级 调参 运维 一把梭!
生产环境的海量数据计算产品,文档地址:
项目基于 Spring Boot 2.1.0 、 Jpa、 Spring Security、redis、Vue的前后端分离的后台管理系统,项目采用分模块开发方式, 权限控制采用 RBAC,支持数据字典与数据权限管理,支持一键生成前后端代码,支持动态路由
flink learning blog. http://www.54tianzhisheng.cn 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例,还有 Flink 落地应用的大型项目案例(PVUV、日志存储、百亿数据实时去重、监控告警)分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》
Mirror of Apache griffin
hera 分布式任务调度系统 大数据任务调度系统 任务调度 (数据部门专用)
Dolphin Scheduler is a distributed and easy-to-expand visual DAG workflow scheduling system, dedicated to solving the complex dependencies in data processing, making the scheduling system out of the box for data processing.
All Algorithms implemented in Java
【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
基于代码生成器的低代码开发平台,开源界“小普元”超越传统商业开发平台!前后端分离架构:SpringBoot 2.x,Ant Design&Vue,Mybatis-plus,Shiro,JWT。强大的代码生成器让前后端代码一键生成,无需写任何代码! 引领新开发模式(OnlineCoding-> 代码生成-> 手工MERGE),帮助Java项目解决70%重复工作,让开发更关注业务逻辑,既能快速提高开发效率,帮助公司节省成本,同时又不失灵活性。
Example code from Learning Spark book
火币量化交易 指标组合策略 简单的数值策略 这个项目只是提供一个思路。
Mirror of Apache Ranger
Scriptis is for interactive data analysis with script development(SQL, Pyspark, HiveQL), task submission(Spark, Hive), UDF, function, resource management and intelligent diagnosis.
免费使用 Heroku 部署 shadowsocks
spring boot demo 是一个用来深度学习并实战 spring boot 的项目,目前总共包含 65 个集成demo,已经完成 53 个。 该项目已成功集成 actuator(监控)、admin(可视化监控)、logback(日志)、aopLog(通过AOP记录web请求日志)、统一异常处理(json级别和页面级别)、freemarker(模板引擎)、thymeleaf(模板引擎)、Beetl(模板引擎)、Enjoy(模板引擎)、JdbcTemplate(通用JDBC操作数据库)、JPA(强大的ORM框架)、mybatis(强大的ORM框架)、通用Mapper(快速操作Mybatis)、PageHelper(通用的Mybatis分页插件)、mybatis-plus(快速操作Mybatis)、BeetlSQL(强大的ORM框架)、upload(本地文件上传和七牛云文件上传)、redis(缓存)、ehcache(缓存)、email(发送各种类型邮件)、task(基础定时任务)、quartz(动态管理定时任务)、xxl-job(分布式定时任务)、swagger(API接口管理测试)、security(基于RBAC的动态权限认证)、SpringSession(Session共享)、Zookeeper(结合AOP实现分布式锁)、RabbitMQ(消息队列)、Kafka(消息队列)、websocket(服务端推送监控服务器运行信息)、socket.io(聊天室)、ureport2(**式报表)、打包成war文件、集成 ElasticSearch(基本操作和高级查询)、Async(异步任务)、集成Dubbo(采用官方的starter)、MongoDB(文档数据库)、neo4j(图数据库)、docker(容器化)、JPA多数据源、Mybatis多数据源、代码生成器、GrayLog(日志收集)、JustAuth(第三方登录)、LDAP(增删改查)、动态添加/切换数据源、单机限流(AOP + Guava RateLimiter)、分布式限流(AOP + Redis + Lua)、ElasticSearch 7.x(使用官方 Rest High Level Client)、HTTPS。
SpringBoot + Netty开发WebSocket服务器,时时获取火币(huobi)交易所推送过来的交易对最新数据。
Vertica-ML-Python is a Python library that exposes sci-kit like functionality to conduct data science projects on data stored in Vertica, thus taking advantage Vertica’s speed and built-in analytics and machine learning capabilities. It supports the entire data science life cycle, uses a ‘pipeline’ mechanism to sequentialize data transformation operation (called Virtual Dataframe), and offers multiple graphical rendering possibilities.
WeDataSphere is a financial level one-stop open-source suitcase for big data platforms. Currently the source code of Scriptis and Linkis has already been released to the open-source community.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.