Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

大数据入门指南 ⭐

Enterprise job scheduling middleware with distributed computing ability.

Python clone of Spark, a MapReduce alike framework in Python

🎯 🌟[大数据面试题]分享自己在网络上收集的大数据相关的面试题以及自己的答案总结.目前包含Hadoop/Hive/Spark/Flink/Hbase/Kafka/Zookeeper框架的面试题知识总结

大数据知识仓库涉及到数据仓库建模、实时计算、大数据、数据中台、系统设计、Java、算法等。

MapReduce, Spark, Java, and Scala for Data Algorithms Book

C# and F# language binding and extensions to Apache Spark

distributed_computing include mapreduce kvstore etc.

An open source framework for building data analytic applications.

🐎 A serverless MapReduce framework written for AWS Lambda

💎🔥大数据学习笔记

A serverless cluster computing system for the Go programming language

t-Digest data structure in Python. Useful for percentiles and quantiles, including distributed enviroments like PySpark

Uniffle is a high performance, general purpose Remote Shuffle Service.

Dynamic execution framework for your Redis data

Compass is a task diagnosis platform for bigdata

Cascading is a feature rich API for defining and executing complex and fault tolerant data processing flows locally or on a cluster.

Behemoth is an open source platform for large scale document analysis based on Apache Hadoop.

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