Bill Ward shows us an example using Python of reading Google Analytics data into a Kafka topic:
Google Analytics is a very powerful platform for monitoring your web site’s metrics including top pages, visitors, bounce rate, etc. As more and more businesses start using Big Data processes, the need to compile as much data as possible becomes more advantageous. The more data you have available, the more options you have to analyze that data and produce some very interesting results that can help you shape your business.
This article assumes that you already have a running Kafka cluster. If you don’t, then please follow my article Kafka Tutorial for Fast Data Architecture to get a cluster up and running. You will also need to have a topic already created for publishing the Google Analytics metrics to. The aforementioned article covers this procedure as well. I created a topic called admintome-ga-pages since we will be collection Google Analytics (ga) metrics about my blog’s pages.
In this article, I will walk you through how to pull metrics data from Google Analytics for your site then take that data and push it to your Kafka Cluster. In a later article, we will cover how to take that data that is consumed in Kafka and analyze it to give us some meaningful business data.
This is a good tutorial and I’m looking forward to part two.