Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributedly.

Kubernetes-native platform to run massively parallel data/streaming jobs

A search engine which can hold 100 trillion lines of log data.

Efficient transducers for Julia

Fundamentals of Spark with Python (using PySpark), code examples

Parallelized Base functions

Data science and Big Data with Python

Fast & furious GroupBy operations for dask.array

Prosto is a data processing toolkit radically changing how data is processed by heavily relying on functions and operations with functions - an alternative to map-reduce and join-groupby

Efficient and scalable parallelism using the message passing interface (MPI) to handle big data and highly computational problems.

Data-parallelism on CUDA using Transducers.jl and for loops (FLoops.jl)

The core parallel and shared memory library used by Hack, Flow, and Pyre

No description provided.

pingcap 面试小作业

RedisGears python client

A lightweight modern map reduce framework brought to k8s

There are Python 2.7 codes and learning notes for Spark 2.1.1

Inverted Indexer, web crawler, sort, search and poster steamer written using Python for information retrieval.

Appengine Datastore Mapper in Go

Map/reduce jobs for Hadoop in PHP

Word Counter with Haskell for Programming Language Design Course

2017春季MIT分布式系统课程实验

Open source implementation of the SOQL.

Build scalable data pipelines on YTsaurus with automatic stage management, local development simulation, and more.

Code for paper "Locally Distributed Deep Learning Inference on Edge Device Clusters"

Creating an Inverted Index of words occurring in a large set of documents extracted from web pages using Hadoop MapReduce and Google Dataproc

A rich Map/Reduce API in Go

Web Application Message Async Server and WAMP/MQTT bridge

A Java Stochastic Dynamic Programming Library

[EXPERIMENTAL] R package: future.mapreduce - Utility Functions for Future Map-Reduce API Packages