Advancing Fabric - Real Time Analytics

It's more and more common these days for our various applications to offer a live data feed, but how do we get started bringing real time event data into Microsoft Fabric? Well that's where the Real Time Analytics Experience comes in, giving us some super quick, low-code options for event streaming, as well as KQL for time series analysis and integration with Fabric Lakehouse artifacts!
In this video, Simon and Craig take a look at the experience, bring some data in from an Azure Event hub and look at the different ways we can work with real time data in Fabric
If you're thinking about kicking off a Fabric proof of concept, get in touch with Advancing Analytics to hear how we can accelerate your journey!

Пікірлер: 7

  • @sohailansari9337
    @sohailansari933711 ай бұрын

    Love your video and example.. lovely 👌

  • @Uscreen
    @Uscreen11 ай бұрын

    It's great to see how seamlessly you're able to connect event data sources to kql databases and stream that data into the lake house. Looking forward to more content from you and hoping to see that end-to-end real-time workflow in action. - Adaire

  • @abhinavj4
    @abhinavj411 ай бұрын

    I'm a massive fan of all things KQL, ADX and so on. The native SQL and 'quick create powerbi report' functionalities are awesome, I've been playing around with AD sign-in logs and also attempting some stuff with real-time Formula 1 data!

  • @cnporteous

    @cnporteous

    11 ай бұрын

    Ah I knew I forgot to mention something. The power bi piece is nice if a little cut down.

  • @NeumsFor9

    @NeumsFor9

    11 ай бұрын

    Video game data would attract many folks......

  • @MsVikramaditya
    @MsVikramaditya11 ай бұрын

    Do you have a recommendation, when to use Databricks Delta Live Tables vs Fabric Real Time Analytics? What are the pros and cons? How to choose the right service?

  • @ErikParmann
    @ErikParmann9 ай бұрын

    So, what's the latency? Are we talking sub second from event hub to delta table? 10 seconds? Minutes?