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 2 months ago
JSON representation

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 (about 10 years ago)
• Default Branch: master
• Last Pushed: 2021-08-16T11:16:27.000Z (about 3 years ago)
• Last Synced: 2024-07-30T21:39:27.752Z (about 2 months 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: 1,787
• Watchers: 208
• Forks: 405
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • Contributing: .github/CONTRIBUTING.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-java - Oryx 2 - Framework for building real-time, large-scale machine learning applications. Includes end-to-end applications for collaborative filtering, classification, regression, and clustering. (Projects / Machine Learning)

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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