Using Kafka To Drive Machine Learning

Kai Waehner has a nice architectural post on using Kafka as the focal point for machine learning training and prediction:

The essence of this architecture is that it uses Kafka as an intermediary between the various data sources from which feature data is collected, the model building environment where the model is fit, and the production application that serves predictions.

Feature data is pulled into Kafka from the various apps and databases that host it. This data is used to build models. The environment for this will vary based on the skills and preferred toolset of the team. The model building could be a data warehouse, a big data environment like Spark or Hadoop, or a simple server running python scripts. The model can be published where the production app that gets the same model parameters can apply it to incoming examples (perhaps using Kafka Streams to help index the feature data for easy usage on demand). The production app can either receive data from Kafka as a pipeline or even be a Kafka Streams application itself.

This is approximately 80% of my interests wrapped up in one post, so of course I’m going to read it…

Related Posts

An Explanation Of Convolutional Neural Networks

Shirin Glander explains some of the mechanics behind Convolutional Neural Networks: Convolutional Neural Nets are usually abbreviated either CNNs or ConvNets. They are a specific type of neural network that has very particular differences compared to MLPs. Basically, you can think of CNNs as working similarly to the receptive fields of photoreceptors in the human eye. Receptive fields in our […]

Read More

Testing Kafka Streams Applications

Yeva Byzek continues her series on testing Kafka-based streaming applications: When you create a stream processing application with Kafka’s Streams API, you create a Topologyeither using the StreamsBuilder DSL or the low-level Processor API. Normally, the topology runs with the KafkaStreams class, which connects to a Kafka cluster and begins processing when you call start(). For testing though, connecting to a running […]

Read More

Categories

October 2017
MTWTFSS
« Sep Nov »
 1
2345678
9101112131415
16171819202122
23242526272829
3031