Real-Time Telemetry - Civic Conversations

What this episode covers

This podcast explores how Kafka, Neo4j, and real-time telemetry data can be combined to build powerful graph-based analytics systems. It discusses event streaming, connected data architectures, and techniques for capturing and analyzing live interactions from applications and games such as Doom. Perfect for data engineers, developers, cloud architects, and technology enthusiasts interested in real-time graph processing and streaming analytics.

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Frequently Asked Questions

How long is this episode of Civic Conversations?

This episode is 46 minutes long.

When was this Civic Conversations episode published?

This episode was published on August 26, 2023.

What is this episode about?

This podcast explores how Kafka, Neo4j, and real-time telemetry data can be combined to build powerful graph-based analytics systems. It discusses event streaming, connected data architectures, and techniques for capturing and analyzing live...

Can I download this Civic Conversations episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.