Conclusions and next steps from the Real-time Editorial Analytics accelerator
You've completed the real-time editorial analytics solution accelerator. You've gained practical experience building, deploying, and extending real-time, event-driven architectures using Snowplow and ClickHouse.
You have successfully built a real-time system for processing event data including:
- Web tracking application for collecting article interaction and ad performance events.
- Snowplow Micro and Snowbridge for event processing and forwarding. You explored how to use Snowplow Micro to emulate a full Snowplow pipeline for local development and testing.
- ClickHouse for processing and storing real-time event-level data.
- Editorial Analytics Dashboard front-end for visualizing real-time content engagement behavior on the web tracking application.
This architecture highlights how real-time insights can be achieved using event-driven systems in a streaming context.
This accelerator can be extended to use Snowplow event data for other real-time use cases, such as:
- Web engagement analytics
- Personalized content recommendations
- Ad performance tracking
- Search and content re-ranking
Next steps
The following extensions are a good starting point for building on this accelerator:
- Extend tracking: extend the solution to track more granular user interactions or track on a new platform such as mobile
- Personalize content recommendations: extend the solution to change the Featured Article on the homepage based on the most-viewed article from the last 30 minutes
- Exclude content: extend the solution to exclude any content already viewed by the current user
- Real-time content scoring: extend the solution to compute a real-time score for each article, based on the latest engagement
By completing this tutorial, you're equipped to build event-driven systems that deliver real-time analytics tailored to your streaming needs.