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DennesTorres's avatar
DennesTorres
Power Participant
2 years ago
Solved

Eventstream and other architectures

Hi, On previous architectures, we are used to two core objects to build a real time data architecture: event hub and stream analytics. Stream analytics is capable to summarize the data received...
data engineering
  • Anonymous's avatar
    Anonymous
    2 years ago

    Hi  DennesTorres ,

    Eventstream offers same transformations as were available in streaming dataflows. The transformations are available when you configure a destination for Eventstream. Currently, those set of transformations are available for Lakehouse destination. 
    The transformations for KQL can be expected in the upcoming release of MS Fabric, as it is already on roadmap.
    Hope this information is helpful. Please let me know if you have any other questions.

    Please refer this document for more information :

    Process event data with the event processor editor - Microsoft Fabric | Microsoft Learn

Anonymous's avatar
Anonymous
Not applicable
2 years ago

Hi DennesTorres ,
Thanks for the ask and using the Fabric Community. 
At this time, we are reaching out to the internal team to get some help on this.
We will update you once we hear back from them.

  • DennesTorres's avatar
    DennesTorres
    Power Participant
    2 years ago

    Hi,

    Thank you! It's a great (and surprising) feedback. I will make some tests and I'm quite sure this is the solution for the question.

    I would only provide an additional feedback: It's very surprising to notice that on the internal architecture, the transformations depend on the destination. There is the danger of the transformations to evolve in different rhythm for each destination. The common and expected scenario is the transformation being done before reaching the destination and in this way, independent of it.

    Thank you!

    Kind Regards,

    Dennes

    • Anonymous's avatar
      Anonymous
      Not applicable
      2 years ago

      Hi DennesTorres ,
      Hope your query got resolved. Please do let us know if you have any further queries.
      Appreciate if you could share the feedback on our feedback channel. Which would be open for the user community to upvote & comment on. This allows our product teams to effectively prioritize your request against our existing feature backlog and gives insight into the potential impact of implementing the suggested feature.

    • Anonymous's avatar
      Anonymous
      Not applicable
      2 years ago

      Hi DennesTorres ,
      Glad that your issue got resolved. Please continue using Fabric community for any help regarding your queries.