<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Re: Near real time in Eventstream</title>
    <link>https://community.fabric.microsoft.com/t5/Eventstream/Near-real-time/m-p/4602278#M396</link>
    <description>&lt;P&gt;I believe the difference is in the configuration - batch mode vs streaming mode.&amp;nbsp; The Capacity Metrics app source seems to be running in batch mode.&lt;/P&gt;</description>
    <pubDate>Sun, 09 Mar 2025 21:25:41 GMT</pubDate>
    <dc:creator>lbendlin</dc:creator>
    <dc:date>2025-03-09T21:25:41Z</dc:date>
    <item>
      <title>Near real time</title>
      <link>https://community.fabric.microsoft.com/t5/Eventstream/Near-real-time/m-p/4590801#M380</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have a requirement of pulling the data from an API in near real time(5 min interval) and load it into lakehouse or warehouse? How do I do it in fabric? The entire pipeline has to complete within secs so that the pipeline can be triggered again after 5 mins. I have minimal transformations.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;What components should I use to achieve this? I am currently using a copy activity and two notebooks(one to convert the json data to parquet format and the other one to load the data- can combine these if needed), it takes around 4 mins for the pipeline to complete.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Need suggestions to handle this&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 28 Feb 2025 21:05:57 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Eventstream/Near-real-time/m-p/4590801#M380</guid>
      <dc:creator>Kar_c</dc:creator>
      <dc:date>2025-02-28T21:05:57Z</dc:date>
    </item>
    <item>
      <title>Re: Near real time</title>
      <link>https://community.fabric.microsoft.com/t5/Eventstream/Near-real-time/m-p/4590906#M381</link>
      <description>&lt;P&gt;I would have said "Use Eventhouses instead"&amp;nbsp; but these Kusto databases seem to have a horrible latency (8 minutes plus) - at least that's what the Capacity Metrics App exposes. So not sure if it would work in your scenario.&lt;/P&gt;</description>
      <pubDate>Fri, 28 Feb 2025 23:37:25 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Eventstream/Near-real-time/m-p/4590906#M381</guid>
      <dc:creator>lbendlin</dc:creator>
      <dc:date>2025-02-28T23:37:25Z</dc:date>
    </item>
    <item>
      <title>Re: Near real time</title>
      <link>https://community.fabric.microsoft.com/t5/Eventstream/Near-real-time/m-p/4591208#M382</link>
      <description>&lt;P&gt;Hello&amp;nbsp;&lt;a href="javascript:void(0)" data-lia-user-mentions="" data-lia-user-uid="956076" data-lia-user-login="ilbe" class="lia-mention lia-mention-user"&gt;ilbe&lt;/a&gt;&amp;nbsp;,Is there any limitation in EventHouse?&amp;nbsp;&lt;/P&gt;&lt;DIV&gt;We are encountering the following error:&lt;/DIV&gt;&lt;DIV&gt;&lt;STRONG&gt;"This incident has been reported. Error code: KustoWebV2; 21b26176-53a5-446b-832e-87ea443543de."&lt;/STRONG&gt;&lt;img /&gt;&lt;P&gt;Could you please advise .&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you&lt;/P&gt;&lt;/DIV&gt;</description>
      <pubDate>Sat, 01 Mar 2025 10:35:14 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Eventstream/Near-real-time/m-p/4591208#M382</guid>
      <dc:creator>PrachiJain_2025</dc:creator>
      <dc:date>2025-03-01T10:35:14Z</dc:date>
    </item>
    <item>
      <title>Re: Near real time</title>
      <link>https://community.fabric.microsoft.com/t5/Eventstream/Near-real-time/m-p/4591218#M383</link>
      <description>&lt;P&gt;You can use the Notebook as a streaming notebook (with a wait command for 5 mins) and send the data to an Eventstream.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Here you can transform the data (unfold the json) quite easily and land it in a Lakehouse and/or Eventhouse to fit your needs for further processing of the data.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;The latency mentioned above is only for the mirror between Eventhouse and OneLake - but you can land your data directly in a Lakehouse from the Eventstream with extremely low latency.&lt;/P&gt;</description>
      <pubDate>Sat, 01 Mar 2025 10:55:29 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Eventstream/Near-real-time/m-p/4591218#M383</guid>
      <dc:creator>datacoffee</dc:creator>
      <dc:date>2025-03-01T10:55:29Z</dc:date>
    </item>
    <item>
      <title>Re: Near real time</title>
      <link>https://community.fabric.microsoft.com/t5/Eventstream/Near-real-time/m-p/4598251#M387</link>
      <description>&lt;P&gt;Thanks everyone, will try and get back &lt;span class="lia-unicode-emoji" title=":slightly_smiling_face:"&gt;🙂&lt;/span&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 06 Mar 2025 10:03:10 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Eventstream/Near-real-time/m-p/4598251#M387</guid>
      <dc:creator>Kar_c</dc:creator>
      <dc:date>2025-03-06T10:03:10Z</dc:date>
    </item>
    <item>
      <title>Re: Near real time</title>
      <link>https://community.fabric.microsoft.com/t5/Eventstream/Near-real-time/m-p/4602276#M394</link>
      <description>&lt;P&gt;Hello&amp;nbsp;&lt;a href="javascript:void(0)" data-lia-user-mentions="" data-lia-user-uid="100342" data-lia-user-login="lbendlin" class="lia-mention lia-mention-user"&gt;lbendlin&lt;/a&gt;&amp;nbsp;,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I was reading and I find interesting your feedback. I have been doing some test from my side and the Kusto Database performs actually very correct, a couple of seconds of delay is more than enough for me. Would it be possible to share a screenshot or extra details about the latency that you mention ? Unfortunately I can't use/install the&amp;nbsp;&lt;SPAN&gt;Capacity Metrics App because I am missing some rights...&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Thanks and regards,&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Omar C.&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Sun, 09 Mar 2025 21:18:16 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Eventstream/Near-real-time/m-p/4602276#M394</guid>
      <dc:creator>omarecd</dc:creator>
      <dc:date>2025-03-09T21:18:16Z</dc:date>
    </item>
    <item>
      <title>Re: Near real time</title>
      <link>https://community.fabric.microsoft.com/t5/Eventstream/Near-real-time/m-p/4602278#M396</link>
      <description>&lt;P&gt;I believe the difference is in the configuration - batch mode vs streaming mode.&amp;nbsp; The Capacity Metrics app source seems to be running in batch mode.&lt;/P&gt;</description>
      <pubDate>Sun, 09 Mar 2025 21:25:41 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Eventstream/Near-real-time/m-p/4602278#M396</guid>
      <dc:creator>lbendlin</dc:creator>
      <dc:date>2025-03-09T21:25:41Z</dc:date>
    </item>
    <item>
      <title>Re: Near real time</title>
      <link>https://community.fabric.microsoft.com/t5/Eventstream/Near-real-time/m-p/4670859#M487</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="javascript:void(0)" data-lia-user-mentions="" data-lia-user-uid="1230328" data-lia-user-login="Kar_c" class="lia-mention lia-mention-user"&gt;Kar_c&lt;/a&gt;&amp;nbsp;,&lt;/P&gt;
&lt;P&gt;As we haven’t heard back from you, we wanted to kindly follow up to check if the solution provided for the issue worked? or Let us know if you need any further assistance?&lt;BR /&gt;If our response addressed, please mark it as Accept as solution and&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN&gt;consider giving a KUDOS. Feel free to reach out if you need further assistance.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Regards,&lt;/P&gt;
&lt;P&gt;Dinesh&lt;/P&gt;</description>
      <pubDate>Mon, 28 Apr 2025 11:54:38 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Eventstream/Near-real-time/m-p/4670859#M487</guid>
      <dc:creator>v-dineshya</dc:creator>
      <dc:date>2025-04-28T11:54:38Z</dc:date>
    </item>
    <item>
      <title>Re: Near real time</title>
      <link>https://community.fabric.microsoft.com/t5/Eventstream/Near-real-time/m-p/4678047#M496</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="javascript:void(0)" data-lia-user-mentions="" data-lia-user-uid="1230328" data-lia-user-login="Kar_c" class="lia-mention lia-mention-user"&gt;Kar_c&lt;/a&gt;&amp;nbsp;,&lt;/P&gt;
&lt;P&gt;As we haven’t heard back from you, we wanted to kindly follow up to check if the solution provided for the issue worked? or Let us know if you need any further assistance?&lt;BR /&gt;If our response addressed, please mark it as Accept as solution and&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN&gt;consider giving a KUDOS. Feel free to reach out if you need further assistance.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Regards,&lt;/P&gt;
&lt;P&gt;Dinesh&lt;/P&gt;</description>
      <pubDate>Fri, 02 May 2025 17:59:08 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Eventstream/Near-real-time/m-p/4678047#M496</guid>
      <dc:creator>v-dineshya</dc:creator>
      <dc:date>2025-05-02T17:59:08Z</dc:date>
    </item>
    <item>
      <title>Re: Near real time</title>
      <link>https://community.fabric.microsoft.com/t5/Eventstream/Near-real-time/m-p/4681308#M505</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;A href="https://community.fabric.microsoft.com/t5/user/viewprofilepage/user-id/1230328" target="_blank"&gt;@Kar_c&lt;/A&gt;&amp;nbsp;,&lt;/P&gt;
&lt;P&gt;As we haven’t heard back from you, we wanted to kindly follow up to check if the solution provided for the issue worked? or Let us know if you need any further assistance?&lt;BR /&gt;If our response addressed, please mark it as Accept as solution and&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN&gt;consider giving a KUDOS. Feel free to reach out if you need further assistance.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Regards,&lt;/P&gt;
&lt;P&gt;Dinesh&lt;/P&gt;</description>
      <pubDate>Tue, 06 May 2025 05:33:57 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Eventstream/Near-real-time/m-p/4681308#M505</guid>
      <dc:creator>v-dineshya</dc:creator>
      <dc:date>2025-05-06T05:33:57Z</dc:date>
    </item>
  </channel>
</rss>

