175 Open source projects that are alternatives of or similar to mapreduce

Java并发编程与高并发解决方案：http://coding.imooc.com/class/195.html Java开发企业级权限管理系统：http://coding.imooc.com/class/149.html

Códigos feitos para o curso de Multithreading com Java, no canal RinaldoDev do YouTube.

Java并发的系统性学习

Blazing fast concurrent HashMap for Rust.

provides utilities to perform common tasks on goroutines

ZIO — A type-safe, composable library for async and concurrent programming in Scala

Implementation of blocking (IO-Bound) cancellable java.util.concurrent.CompletionStage and related extensions to java.util.concurrent.ExecutorService-s

THIS IS A MIRROR, CHECK https://codeberg.org/Horse64/core.horse64.org

Java library for running Serverless MapReduce jobs

PySpark Algorithms Book: https://www.amazon.com/dp/B07X4B2218/ref=sr_1_2

Companion to Learning Hadoop and Learning Spark courses on Linked In Learning

Implementation of PCI drivers, kprobe, sysfs, devfs, sensor driver, miscdevices, synchronization

a one-stop repo to lookup for code snippets of core java concepts, sql, data structures as well as big data. It also consists of interview questions asked in real-life.

Hunch provides functions like: All, First, Retry, Waterfall etc., that makes asynchronous flow control more intuitive.

JDK source code reading

A spider on Dcard. Strong and speedy.

Масштабируемое машинное обучение и анализ больших данных с Apache Spark

《多处理器编程的艺术》一书中的示例代码实现，带有注释与单元测试

minimal utilities for Scala Futures

Python framework for asynchronous, concurrent, distributed, network programming with coroutines

📝 Java Base Learning

🚀Java并发编程实战

Concurrent computing in Julia based on the Actor Model

Concurrent effects for Effector ☄️

A faster RWLock primitive in Go, 2-3 times faster than RWMutex. A Go implementation of concurrency control algorithm in paper <Left-Right - A Concurrency Control Technique with Wait-Free Population Oblivious Reads>

A blazing fast job processing system backed by GenStage & Redis.

pip install funboost，python全功能分布式函数调度框架,。支持python所有类型的并发模式和全球一切知名消息队列中间件，python函数加速器，框架包罗万象，一统编程思维，兼容50% python编程业务场景，适用范围广。只需要一行代码即可分布式执行python一切函数。旧名字是function_scheduling_distributed_framework

High performance containers and utilities for concurrent and asynchronous programming

An implementation of MapReduce on top of C# Durable Functions over the NYC 2017 Taxi dataset to compute average ride time per-day

Socrata Open Data API (SODA) GET client for Golang

C++ development framework for building reliable cache-friendly distributed and concurrent multicore software

keep track of hls viewer stats

Erlang Parse Transforms Including Fold (MapReduce) comprehension, Elixir-like Pipeline, and default function arguments

A set implementation based on lockfree skiplist.

🍉基于Hadoop和HBase的大规模海量数据去重

A thread-safe, persistent Treap (tree + heap) for ordered key-value mapping and priority sorting.

Yet Another Concurrency Library

📚Coordinate "transactions" across a number of services in python

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a tiny function that "parallelizes" work in NodeJS

Core utility library & data connectors designed for simpler usage in Scala

大数据学习笔记，学习路线，技术案例整理。

Concurrent Data Structure for Rust

Template repository to work on the labs from MIT 6.824 Distributed Systems course.

Fast and easy parallel mapreduce on HPC clusters

gomrjob - a Go Framework for Hadoop Map Reduce Jobs

a stack-based concatenative virtual machine for implementing highly concurrent languages

Framework-agnostic state management library designed for simplicity and scalability ⚛

A fast SAT solver

A simple web scraping engine supporting concurrent and anonymous scraping

大数据生态圈学习

Jet is a simple OOP, dynamically typed, functional language that runs on the Erlang virtual machine (BEAM). Jet's syntax is Ruby-like syntax.

OpenTracing-aware helpers related to java.util.concurrent

a thread-safe concurrent map for go

Materials for "Machine Learning on Big Data" course

Data pipeline project

An implementation of Actor, Publish-Subscribe, and CSP models in one rather small C++ framework. With performance, quality, and stability proved by years in the production.

This is a frameworks with reactive, event sourcing and Actor pattern as basic theories. On top of this, developers can create "distributed", "scale out", and "easy to test" application more simply. Claptrap and it`s Minions is on the way.

Scalable RNA-seq analysis

Run MapReduce in user's browser.