Difference between revisions of "Cloudera"
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* [http://www.infoworld.com/article/2607749/hadoop/how-cloudera-plans-to-stand-out-from-the-hadoop-herd.html How Cloudera plans to stand out from the Hadoop herd | Serdar Yegulalp] | * [http://www.infoworld.com/article/2607749/hadoop/how-cloudera-plans-to-stand-out-from-the-hadoop-herd.html How Cloudera plans to stand out from the Hadoop herd | Serdar Yegulalp] | ||
| − | uses Spark and the [http://www.learningjournal.guru/article/kafka/kafka-enterprise-architecture/ Kafka] stream processing framework to run machine learning models on real-time data. Oryx provides a way to build projects that require decisions in the moment, like recommendation engines or live anomaly detection, that are informed by both new and historical data. | + | uses [http://spark.apache.org/ Spark] and the [http://www.learningjournal.guru/article/kafka/kafka-enterprise-architecture/ Kafka] stream processing framework to run machine learning models on real-time data. Oryx provides a way to build projects that require decisions in the moment, like recommendation engines or live anomaly detection, that are informed by both new and historical data. |
<youtube>F8YVRzCdxcw</youtube> | <youtube>F8YVRzCdxcw</youtube> | ||
Revision as of 21:06, 27 October 2019
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- Libraries & Frameworks
- Oryx | GitHub
- How Cloudera plans to stand out from the Hadoop herd | Serdar Yegulalp
uses Spark and the Kafka stream processing framework to run machine learning models on real-time data. Oryx provides a way to build projects that require decisions in the moment, like recommendation engines or live anomaly detection, that are informed by both new and historical data.
