LiamWong1995

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

HowToCook

程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).

prometheus

The Prometheus monitoring system and time series database.

arthas

Alibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas

Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

p3c

Alibaba Java Coding Guidelines pmd implements and IDE plugin

HowToLiveLonger

程序员延寿指南 | A programmer's guide to live longer

toBeTopJavaer

To Be Top Javaer - Java工程师成神之路

IntelliJ-IDEA-Tutorial

IntelliJ IDEA 简体中文专题教程

source-code-hunter

😱 从源码层面，剖析挖掘互联网行业主流技术的底层实现原理，为广大开发者 “提升技术深度” 提供便利。目前开放 Spring 全家桶，Mybatis、Netty、Dubbo 框架，及 Redis、Tomcat 中间件等

ddia

《Designing Data-Intensive Application》DDIA中文翻译

awesome-free-chatgpt

🆓免费的 ChatGPT 镜像网站列表，持续更新。List of free ChatGPT mirror sites, continuously updated.

presto

The official home of the Presto distributed SQL query engine for big data

hadoop

Apache Hadoop

jvm

🤗 JVM 底层原理最全知识总结

trino

Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

house

有完整版的PDF下载。

papers-notebook

:page_facing_up: :cn: :page_with_curl: 论文阅读笔记（分布式系统、虚拟化、机器学习）Papers Notebook (Distributed System, Virtualization, Machine Learning)

minibase

An embedded KV storage engine for learning HBase

dpkb

大数据相关内容汇总，包括分布式存储引擎、分布式计算引擎、数仓建设等。关键词：Hadoop、HBase、ES、Kudu、Hive、Presto、Spark、Flink、Kylin、ClickHouse

ApacheSparkBook

flink-sql-security

FlinkSQL数据脱敏和行级权限解决方案及源码，支持面向用户级别的数据脱敏和行级数据访问控制，即特定用户只能访问到脱敏后的数据或授权过的行。此方案是实时领域Flink的解决方案，类似于离线数仓Hive Ranger中的Row-level Filter和Column Masking方案。

KwaiTechnologyCommunication

快手大前端技术交流会2020

presto-teach

presto、trino资料分享，开发文档、源码阅读、二次开发。

hadoop-yarn

对yarn的的RM,NM模块代码进行分析

MapReduce-Code

Hadoop平台下的MapReduce源码分析

geekbang-bigdata

Hadoop-Common-Code

Hadoop Common公共模块代码部分分析

flink-sql-lineage

FlinkSQL字段血缘解决方案及源码。FlinkSQL field lineage solution and source code, The core idea is to parse SQL through Calcite to generate a RelNode tree of relational expressions. Then get the optimized logical paln through optimization stage, and finally call Calcite RelMetadataQuery to get the lineage relationship at the field level.

pulsarTutorial