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

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

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

Efficient transducers for Julia

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

Parallelized Base functions

Demonstration of using Python to process the Common Crawl dataset with the mrjob framework

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

pingcap 面试小作业

RedisGears python client

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