Oryx: Lambda architecture on Apache Spark, Apache Kafka For ML

Oryx 2 is a realization of the lambda architecture built on Apache Spark and Apache Kafka, 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 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
Get a Release
Prepare a config file from the Configuration Reference
Run the binaries with Running Oryx
Learn about the REST API endpoints you can call in the 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 to learn how to create a new application. You can review a module diagram as well to understand the project structure.

Author: oryxproject
Source code: https://github.com/oryxproject/oryx
License: Apache-2.0 license

#machine-learning #kafka

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Oryx: Lambda architecture on Apache Spark, Apache Kafka For ML

Roberta Ward

1595344320

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Edureka Fan

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What is Apache Spark? | Apache Spark Python | Spark Training

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Gunjan Khaitan

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Apache Spark Tutorial For Beginners - Apache Spark Full Course

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Animated Video 01:15
History of Spark 06:48
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Components of Apache Spark 14:14
Spark Architecture 33:26
Applications of Spark 40:05
Spark Use Case 42:08
Running a Spark Application 44:08
Apache Spark insallation on Windows 01:01:03
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What is Spark Streaming 01:49:31
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Features of Spark Streaming 01:52:19
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What is Spark MLlib 02:47:29
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Machine Learning Algorithms 02:51:38
Spark MLlib Tools 02:53:01
Spark MLlib Data Types 02:56:42
Machine Learning Pipelines 03:09:05
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Spark SQL Demo 04:23:00
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PySpark with Python and Scala 04:58:54
PySpark Contents 05:00:35
PySpark Subpackages 05:40:10
Companies using PySpark 05:41:16
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Spark Interview Questions 05:50:43

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Anil Sakhiya

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Apache Spark For Beginners In 3 Hours | Apache Spark Training

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Kennith Kuhic

1658444400