Nathan Marz

Distributed and fault-tolerant realtime computation: stream processing, continuous computation, distributed RPC, and more

Storm is a distributed system for processing continuous streams of data in real time across a cluster of machines, reacting to each event as it arrives rather than processing in batches like Hadoop.

Data processing on Hadoop without the hassle.

Learn to use Storm!

A collection of spouts, bolts, serializers, DSLs, and other goodies to use with Storm

Distributed database specialized in exporting key/value data from Hadoop

One click deploy for Storm clusters on AWS

Dead-simple vertical partitioning, compression, appends, and consolidation of data on a distributed filesystem.

Library to use Kestrel as a spout within Storm

Automated deploy for Kafka on AWS

Run Storm on top of the Mesos cluster resource manager

A simple dependency management system for your projects.

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Trident state implementation for Memcached

Serializable functions in Clojure

A short Cascalog program that produces a simplified version of a Facebook-like news feed.

Implementation of core of Specter without any optimizations – a reference to understand the basics of how Specter works

Optimized joins using bloom filters on Hadoop via Cascading.

Materials for Cascalog workshop

Seamless integration of ElephantDB with Cascalog

NOTE: This project has been moved into storm-kafka in storm-contrib

Code for Strange Loop talk on Specter

Adapters to write to ElephantDB using Cascading

Code from my presentation of Cascalog at Clojure/conj 2011

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Source for storm-project.net

Intense Space Invaders-like game with "terminal graphics"

Apache Thrift + additional patches that I need

Repository for wiki of https://github.com/redplanetlabs/specter

Turn based strategy game

A high-speed 3D racing game where the track can curve any which way and your car is bound to the track

Starter code for Cascalog workshop

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Mirror of Apache Storm