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https://github.com/oryxproject/oryx

Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning
https://github.com/oryxproject/oryx

apache-kafka apache-spark cloudera java kafka lambda-architecture machine-learning oryx

Last synced: about 1 month ago
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Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning

Host: GitHub
URL: https://github.com/oryxproject/oryx
Owner: OryxProject
License: apache-2.0
Archived: true
Created: 2014-07-25T20:08:44.000Z (over 10 years ago)
Default Branch: master
Last Pushed: 2021-08-16T11:16:27.000Z (about 3 years ago)
Last Synced: 2024-09-28T07:03:37.772Z (about 1 month ago)
Topics: apache-kafka, apache-spark, cloudera, java, kafka, lambda-architecture, machine-learning, oryx
Language: Java
Homepage: http://oryx.io
Size: 7.12 MB
Stars: 1,786
Watchers: 208
Forks: 404
Open Issues: 1
Metadata Files:
- Readme: README.md
- Contributing: .github/CONTRIBUTING.md
- License: LICENSE

Awesome Lists containing this project

awesome-machine-learning - ORYX - Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning. (Java / [Tools](#tools-1))
awesome-advanced-metering-infrastructure - ORYX - Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning. (Java / Speech Recognition)

README

        

Oryx 2 is a realization of the lambda architecture built on [Apache Spark](http://spark.apache.org) 

and [Apache Kafka](http://kafka.apache.org), but with specialization for real-time large scale machine 

learning. It is a framework for building applications, but also includes packaged, end-to-end 

applications for collaborative filtering, classification, regression and clustering.

Proceed to the [Oryx 2 site](http://oryx.io/) for full documentation.

Just looking to deploy a ready-made, end-to-end application for collaborative filtering, clustering or classification? Easy.

Proceed directly to:

- Prepare your Hadoop cluster with [Cluster Setup](http://oryx.io/docs/admin.html)

- Get a [Release](https://github.com/OryxProject/oryx/releases)

- Prepare a config file from the [Configuration Reference](http://oryx.io/docs/endusers.html#Configuration)

- Run the binaries with [Running Oryx](http://oryx.io/docs/endusers.html#Running)

- Learn about the REST API endpoints you can call in the [API Endpoint Reference](http://oryx.io/docs/endusers.html#API_Endpoint_Reference)

Developers can consume Oryx 2 as a framework for building custom applications as well. 

Following the architecture overview below, proceed to 

[Making an Oryx App](http://oryx.io/docs/developer.html#Making_an_Oryx_App) 

to learn how to create a new application. You can review a [module diagram](https://sourcespy.com/github/oryx/) 

as well to understand the project structure.



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