Group: Cloudera Oryx

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Common utilities and support code

Developer APIs

Kafka-related utility code

Framework supporting batch and speed components of an application following the lambda architecture

ZK Utilities

Code common to all model computation implementations

Oryx Serving Common

Common code supporting all layers of apps in this project

Framework supporting batch and speed components of machine learning applications following the lambda architecture

Developer APIs for apps provided in this project

Code common to both model serving and computation

Oryx RDF Common

Code common to K-Means model serving and computation

Oryx ALS Common

Oryx ALS Serving

Speed and batch components of machine learning applications built from algorithms implemented in this project

Framework supporting serving components of an application following the lambda architecture

Example Application

The Oryx open source project provides infrastructure for lambda-architecture applications on top of Spark, Spark Streaming and Kafka. On this, it provides further support for real-time, large scale machine learning, and end-to-end applications of this support for common machine learning use cases, like recommendations, clustering, classification and regression.

Oryx ALS Computation