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罗学焕's Projects

aas icon aas

Code to accompany Advanced Analytics with Spark from O'Reilly Media

alink icon alink

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

alluxio icon alluxio

Alluxio, formerly Tachyon, A Virtual Distributed Storage at Memory Speed

angel icon angel

A Flexible and Powerful Parameter Server for large-scale machine learning

astro icon astro

Native, optimized access to HBase Data through Spark SQL/Dataframe Interfaces

athenax icon athenax

SQL-based streaming analytics platform at scale

awesome-java-cn icon awesome-java-cn

Java资源大全中文版,包括开发库、开发工具、网站、博客、微信、微博等,由伯乐在线持续更新。

bigdl icon bigdl

BigDL: Distributed Deep learning Library for Apache Spark

bitcoin icon bitcoin

Bitcoin Core integration/staging tree

blog icon blog

SpringBoot + Mybatis + thymeleaf 搭建的个人博客

caffe icon caffe

Caffe: a fast open framework for deep learning.

carbondata icon carbondata

Github has been migrated to apache: https://github.com/apache/incubator-carbondata, please fork new github.

crate icon crate

CrateDB: The fast, scalable, easy to use SQL database with native full text search

deeplearning4j icon deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind

delta icon delta

An open-source storage layer that brings scalable, ACID transactions to Apache Spark™ and big data workloads.

dinky icon dinky

Dinky is an out of the box one-stop real-time computing platform dedicated to the construction and practice of Unified Streaming & Batch and Unified Data Lake & Data Warehouse. Based on Apache Flink, Dinky provides the ability to connect many big data frameworks including OLAP and Data Lake.

dr-elephant icon dr-elephant

Dr. Elephant is a job and flow-level performance monitoring and tuning tool for Apache Hadoop and Apache Spark

dubbo icon dubbo

Dubbo is a distributed, high performance RPC framework enpowering applications with service import/export capabilities.

easyscheduler icon easyscheduler

Easy Scheduler is a distributed workflow task scheduling system, which mainly resolve the problem of "complicated task dependencies but cannot directly monitor the health status of tasks". Easy Scheduler assembles tasks in a DAG manner and can monitor the running status of tasks in real time. Meanwhile, It supports operations such as retry, recovery failure from the specified node, pause and kill tasks.中文描述:Easy Scheduler是一个分布式工作流任务调度系统,主要解决"错综复杂的任务依赖关系,而不能直观监控任务健康状态等问题"。Easy Scheduler以DAG流式的方式将Task组装起来,并可实时监控任务的运行状态,同时支持重试、从指定节点恢复失败、暂停及Kill任务等操作。EasyScheduler由在工作流调度方面工作多年的多位小伙伴研发而成,致力于成为大数据平台的中流砥柱,使调度变得更加容易,更可以从其中文名“易调度”看出我们的初衷,如果你对目前市面上的调度不够满意,非常欢迎使用易调度,欢迎大家加入进来,提出需求,也欢迎贡献代码

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