Fabric Real-Time Intelligence is still a mystery to many clients I’ve spoken to recently. In this session I’d like to demystify the process and demonstrate how to build a Fabric RTI solution from scratch using a modern and unique use-case!

I'll show the audience how to ingest the top 10 crypto coin prices from the CoinGecko API into an Azure Event Hub. Then I’ll display how Microsoft Fabric Real-Time Intelligence ingests, transforms, alerts, and report on the data in real-time!

The session is split into 5 parts.

1) Python script calls CoinGecko API to retrieve real-time prices for the top 10 Cryptocurrencies.
2) Latest prices from the API call are ingested into an Azure Event Hub.
3) Connect Fabric EventStream to Azure Event Hub as the data source.
4) Populate Fabric KQL database (hot path) and Fabric Lakehouse (warm path).
5) Generate Fabric Real-Time Dashboard.

The key takeaways are showing the audience how an Azure Event Hub and Fabric Eventstreams communicate with each other. I also want to highlight how to build a Real-Time Intelligence Dashboard with the Crypto Price data.

I haven’t seen anybody demo this RTI scenario before and considering Crypto is a hot topic I think it would generate some crowd interest!

Note I have blogged about this on LinkedIn if you want to see how it’s done beforehand.

https://www.linkedin.com/feed/update/urn:li:ugcPost:7271835305752645633/

Thanks again for your consideration.

Very best wishes.

Dave.