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Hi there 👋

  • 🔭 I’m a contributor to Apache Dolphinscheduler and Apache Linkis
  • 🌱 I’m currently working on real-time computing and storage of big data
  • 📫 How to reach me: [email protected]
  • ⚡ Fun fact: I'm an Die-hard Kobe fan

Github Stats

Tandoy's Projects

addax icon addax

Addax is an open source universal ETL tool that supports most of those RDBMS and NoSQLs on the planet, helping you transfer data from any one place to another.

alluxio icon alluxio

Alluxio, data orchestration for analytics and machine learning in the cloud

beam icon beam

Apache Beam is a unified programming model for Batch and Streaming

dataease icon dataease

人人可用的开源数据可视化分析工具。

datax icon datax

DataX是阿里云DataWorks数据集成的开源版本。

dolphinscheduler icon dolphinscheduler

Apache DolphinScheduler is a distributed and extensible workflow scheduler platform with powerful DAG visual interfaces, dedicated to solving complex job dependencies in the data pipeline and providing various types of jobs available `out of the box`.

efak icon efak

A easy and high-performance monitoring system, for comprehensive monitoring and management of kafka cluster.

engine icon engine

This repository is no longer in use. Starting with Docker Engine 20.10, active development, releases, and release-branches can now be found in the upstream https://github.com/moby/moby repository

fastjson2 icon fastjson2

🚄 FASTJSON2是FASTJSON项目的重要升级,目标是为下一个十年提供一个高性能的JSON库

firestorm icon firestorm

Firestorm is a Remote Shuffle Service, and provides the capability for Apache Spark applications to store shuffle data on remote servers

flink-connector-clickhouse icon flink-connector-clickhouse

Flink SQL connector for ClickHouse. Support ClickHouseCatalog and read/write primary data, maps, arrays to clickhouse.

gazelle_plugin icon gazelle_plugin

Native SQL Engine plugin for Spark SQL with vectorized SIMD optimizations.

howtocook icon howtocook

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

hudi icon hudi

Upserts, Deletes And Incremental Processing on Big Data.

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