keeponcoding's starred repositories
dolphinscheduler
Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
Mini-Python-Project
用Python做些有趣的项目
flink-training-course
Flink 中文视频课程(持续更新...)
sharepoint-batch-download-listgen
Generate Aria2 batch download list for SharePoint Links w/folder structure
hudi-resources
汇总Apache Hudi相关资料
Python3Webcrawler
🌈Python3网络爬虫实战:QQ音乐歌曲、京东商品信息、房天下、破解有道翻译、构建代理池、豆瓣读书、百度图片、破解网易登录、B站模拟扫码登录、小鹅通、荔枝微课
PythonDataScience-Collections
最全数据分析资料汇总(含python、爬虫、数据库、大数据、tableau、统计学等)
flinkStreamSQL
基于开源的flink,对其实时sql进行扩展;主要实现了流与维表的join,支持原生flink SQL所有的语法
flink-training-course
Flink 中文视频课程(持续更新...)
fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
learning-spark
Example code from Learning Spark book
killrweather
KillrWeather is a reference application (work in progress) showing how to easily integrate streaming and batch data processing with Apache Spark Streaming, Apache Cassandra, Apache Kafka and Akka for fast, streaming computations on time series data in asynchronous event-driven environments.
Spark-The-Definitive-Guide
Spark: The Definitive Guide's Code Repository
SparkInternals
Notes talking about the design and implementation of Apache Spark
incubator-livy
Apache Livy is an open source REST interface for interacting with Apache Spark from anywhere.
BigData-Notes
大数据入门指南 :star:
advanced-java
😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 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
hexo-theme-nexmoe
🔥 A special Hexo theme focusing on pictures and images. Images tell stories, and Nexmoe makes them more vivid.
hexo-theme-yilia-plus
一个简洁优雅的hexo主题 A simple and elegant theme for hexo.
flink-learning
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》