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    <title>topic Simulating Real Time Streaming in Databricks free edition in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/simulating-real-time-streaming-in-databricks-free-edition/m-p/131869#M49276</link>
    <description>&lt;P&gt;&lt;STRONG&gt;Use Case:&lt;/STRONG&gt;&lt;/P&gt;&lt;OL&gt;&lt;LI&gt;Kafka real time steaming network telemetry logs&lt;/LI&gt;&lt;LI&gt;In a real use case approx. 40 TB of data can be real time streamed in a day&lt;/LI&gt;&lt;/OL&gt;&lt;P&gt;&lt;STRONG&gt;Architecture:&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="ManojkMohan_0-1757780238326.png" style="width: 400px;"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/19960iC1F3913A17879D5F/image-size/medium?v=v2&amp;amp;px=400" role="button" title="ManojkMohan_0-1757780238326.png" alt="ManojkMohan_0-1757780238326.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;issue encountered:&amp;nbsp;&lt;/STRONG&gt; when i try to simulate kakfa like streaming in databricks itself , as this is a free editon and i am using serverless compute i am getting error&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;[&lt;/SPAN&gt;&lt;A class="" href="https://docs.databricks.com/error-messages/error-classes.html#infinite_streaming_trigger_not_supported" target="_blank" rel="noopener noreferrer"&gt;INFINITE_STREAMING_TRIGGER_NOT_SUPPORTED&lt;/A&gt;&lt;SPAN&gt;]&lt;/SPAN&gt;&lt;SPAN&gt; Trigger type ProcessingTime is not supported for this cluster type. Use a different trigger type e.g. AvailableNow, Once. SQLSTATE: 0A000&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Code:&lt;/SPAN&gt;&lt;/P&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;from&lt;/SPAN&gt;&lt;SPAN&gt; pyspark.sql.functions &lt;/SPAN&gt;&lt;SPAN&gt;import&lt;/SPAN&gt;&lt;SPAN&gt; col, expr&lt;/SPAN&gt;&lt;/DIV&gt;&lt;BR /&gt;&lt;DIV&gt;&lt;SPAN&gt;# Generate 1000 rows per second&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;streamingDF &lt;/SPAN&gt;&lt;SPAN&gt;=&lt;/SPAN&gt;&lt;SPAN&gt; (spark.readStream&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;.&lt;/SPAN&gt;&lt;SPAN&gt;format&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"rate"&lt;/SPAN&gt;&lt;SPAN&gt;)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;.&lt;/SPAN&gt;&lt;SPAN&gt;option&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"rowsPerSecond"&lt;/SPAN&gt;&lt;SPAN&gt;, &lt;/SPAN&gt;&lt;SPAN&gt;1000&lt;/SPAN&gt;&lt;SPAN&gt;)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;.&lt;/SPAN&gt;&lt;SPAN&gt;load&lt;/SPAN&gt;&lt;SPAN&gt;())&lt;/SPAN&gt;&lt;/DIV&gt;&lt;BR /&gt;&lt;DIV&gt;&lt;SPAN&gt;# Add simulated IoT telemetry fields&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;telemetryDF &lt;/SPAN&gt;&lt;SPAN&gt;=&lt;/SPAN&gt;&lt;SPAN&gt; streamingDF.&lt;/SPAN&gt;&lt;SPAN&gt;withColumn&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"tower_id"&lt;/SPAN&gt;&lt;SPAN&gt;, (&lt;/SPAN&gt;&lt;SPAN&gt;col&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"value"&lt;/SPAN&gt;&lt;SPAN&gt;) &lt;/SPAN&gt;&lt;SPAN&gt;%&lt;/SPAN&gt; &lt;SPAN&gt;50_000&lt;/SPAN&gt;&lt;SPAN&gt;)) \&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;.&lt;/SPAN&gt;&lt;SPAN&gt;withColumn&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"metric"&lt;/SPAN&gt;&lt;SPAN&gt;, &lt;/SPAN&gt;&lt;SPAN&gt;expr&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"rand() * 100"&lt;/SPAN&gt;&lt;SPAN&gt;)) \&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;.&lt;/SPAN&gt;&lt;SPAN&gt;withColumn&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"region"&lt;/SPAN&gt;&lt;SPAN&gt;, &lt;/SPAN&gt;&lt;SPAN&gt;expr&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"CASE WHEN tower_id % 5 = 0 THEN 'North' ELSE 'South' END"&lt;/SPAN&gt;&lt;SPAN&gt;))&lt;/SPAN&gt;&lt;/DIV&gt;&lt;BR /&gt;&lt;DIV&gt;&lt;SPAN&gt;# Write to Delta (simulated Bronze table)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;query &lt;/SPAN&gt;&lt;SPAN&gt;=&lt;/SPAN&gt;&lt;SPAN&gt; (telemetryDF.writeStream&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;.&lt;/SPAN&gt;&lt;SPAN&gt;format&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"delta"&lt;/SPAN&gt;&lt;SPAN&gt;)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;.&lt;/SPAN&gt;&lt;SPAN&gt;outputMode&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"append"&lt;/SPAN&gt;&lt;SPAN&gt;)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;.&lt;/SPAN&gt;&lt;SPAN&gt;option&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"checkpointLocation"&lt;/SPAN&gt;&lt;SPAN&gt;, &lt;/SPAN&gt;&lt;SPAN&gt;"/tmp/telemetry_checkpoints"&lt;/SPAN&gt;&lt;SPAN&gt;)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;.&lt;/SPAN&gt;&lt;SPAN&gt;option&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"path"&lt;/SPAN&gt;&lt;SPAN&gt;, &lt;/SPAN&gt;&lt;SPAN&gt;"/tmp/telemetry_bronze"&lt;/SPAN&gt;&lt;SPAN&gt;)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;.&lt;/SPAN&gt;&lt;SPAN&gt;start&lt;/SPAN&gt;&lt;SPAN&gt;())&lt;/SPAN&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;P&gt;&lt;SPAN&gt;Any suggestions for a work around&lt;/SPAN&gt;&lt;/P&gt;</description>
    <pubDate>Sat, 13 Sep 2025 16:23:21 GMT</pubDate>
    <dc:creator>ManojkMohan</dc:creator>
    <dc:date>2025-09-13T16:23:21Z</dc:date>
    <item>
      <title>Simulating Real Time Streaming in Databricks free edition</title>
      <link>https://community.databricks.com/t5/data-engineering/simulating-real-time-streaming-in-databricks-free-edition/m-p/131869#M49276</link>
      <description>&lt;P&gt;&lt;STRONG&gt;Use Case:&lt;/STRONG&gt;&lt;/P&gt;&lt;OL&gt;&lt;LI&gt;Kafka real time steaming network telemetry logs&lt;/LI&gt;&lt;LI&gt;In a real use case approx. 40 TB of data can be real time streamed in a day&lt;/LI&gt;&lt;/OL&gt;&lt;P&gt;&lt;STRONG&gt;Architecture:&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="ManojkMohan_0-1757780238326.png" style="width: 400px;"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/19960iC1F3913A17879D5F/image-size/medium?v=v2&amp;amp;px=400" role="button" title="ManojkMohan_0-1757780238326.png" alt="ManojkMohan_0-1757780238326.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;issue encountered:&amp;nbsp;&lt;/STRONG&gt; when i try to simulate kakfa like streaming in databricks itself , as this is a free editon and i am using serverless compute i am getting error&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;[&lt;/SPAN&gt;&lt;A class="" href="https://docs.databricks.com/error-messages/error-classes.html#infinite_streaming_trigger_not_supported" target="_blank" rel="noopener noreferrer"&gt;INFINITE_STREAMING_TRIGGER_NOT_SUPPORTED&lt;/A&gt;&lt;SPAN&gt;]&lt;/SPAN&gt;&lt;SPAN&gt; Trigger type ProcessingTime is not supported for this cluster type. Use a different trigger type e.g. AvailableNow, Once. SQLSTATE: 0A000&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Code:&lt;/SPAN&gt;&lt;/P&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;from&lt;/SPAN&gt;&lt;SPAN&gt; pyspark.sql.functions &lt;/SPAN&gt;&lt;SPAN&gt;import&lt;/SPAN&gt;&lt;SPAN&gt; col, expr&lt;/SPAN&gt;&lt;/DIV&gt;&lt;BR /&gt;&lt;DIV&gt;&lt;SPAN&gt;# Generate 1000 rows per second&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;streamingDF &lt;/SPAN&gt;&lt;SPAN&gt;=&lt;/SPAN&gt;&lt;SPAN&gt; (spark.readStream&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;.&lt;/SPAN&gt;&lt;SPAN&gt;format&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"rate"&lt;/SPAN&gt;&lt;SPAN&gt;)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;.&lt;/SPAN&gt;&lt;SPAN&gt;option&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"rowsPerSecond"&lt;/SPAN&gt;&lt;SPAN&gt;, &lt;/SPAN&gt;&lt;SPAN&gt;1000&lt;/SPAN&gt;&lt;SPAN&gt;)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;.&lt;/SPAN&gt;&lt;SPAN&gt;load&lt;/SPAN&gt;&lt;SPAN&gt;())&lt;/SPAN&gt;&lt;/DIV&gt;&lt;BR /&gt;&lt;DIV&gt;&lt;SPAN&gt;# Add simulated IoT telemetry fields&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;telemetryDF &lt;/SPAN&gt;&lt;SPAN&gt;=&lt;/SPAN&gt;&lt;SPAN&gt; streamingDF.&lt;/SPAN&gt;&lt;SPAN&gt;withColumn&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"tower_id"&lt;/SPAN&gt;&lt;SPAN&gt;, (&lt;/SPAN&gt;&lt;SPAN&gt;col&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"value"&lt;/SPAN&gt;&lt;SPAN&gt;) &lt;/SPAN&gt;&lt;SPAN&gt;%&lt;/SPAN&gt; &lt;SPAN&gt;50_000&lt;/SPAN&gt;&lt;SPAN&gt;)) \&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;.&lt;/SPAN&gt;&lt;SPAN&gt;withColumn&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"metric"&lt;/SPAN&gt;&lt;SPAN&gt;, &lt;/SPAN&gt;&lt;SPAN&gt;expr&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"rand() * 100"&lt;/SPAN&gt;&lt;SPAN&gt;)) \&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;.&lt;/SPAN&gt;&lt;SPAN&gt;withColumn&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"region"&lt;/SPAN&gt;&lt;SPAN&gt;, &lt;/SPAN&gt;&lt;SPAN&gt;expr&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"CASE WHEN tower_id % 5 = 0 THEN 'North' ELSE 'South' END"&lt;/SPAN&gt;&lt;SPAN&gt;))&lt;/SPAN&gt;&lt;/DIV&gt;&lt;BR /&gt;&lt;DIV&gt;&lt;SPAN&gt;# Write to Delta (simulated Bronze table)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;query &lt;/SPAN&gt;&lt;SPAN&gt;=&lt;/SPAN&gt;&lt;SPAN&gt; (telemetryDF.writeStream&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;.&lt;/SPAN&gt;&lt;SPAN&gt;format&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"delta"&lt;/SPAN&gt;&lt;SPAN&gt;)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;.&lt;/SPAN&gt;&lt;SPAN&gt;outputMode&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"append"&lt;/SPAN&gt;&lt;SPAN&gt;)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;.&lt;/SPAN&gt;&lt;SPAN&gt;option&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"checkpointLocation"&lt;/SPAN&gt;&lt;SPAN&gt;, &lt;/SPAN&gt;&lt;SPAN&gt;"/tmp/telemetry_checkpoints"&lt;/SPAN&gt;&lt;SPAN&gt;)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;.&lt;/SPAN&gt;&lt;SPAN&gt;option&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"path"&lt;/SPAN&gt;&lt;SPAN&gt;, &lt;/SPAN&gt;&lt;SPAN&gt;"/tmp/telemetry_bronze"&lt;/SPAN&gt;&lt;SPAN&gt;)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;.&lt;/SPAN&gt;&lt;SPAN&gt;start&lt;/SPAN&gt;&lt;SPAN&gt;())&lt;/SPAN&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;P&gt;&lt;SPAN&gt;Any suggestions for a work around&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Sat, 13 Sep 2025 16:23:21 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/simulating-real-time-streaming-in-databricks-free-edition/m-p/131869#M49276</guid>
      <dc:creator>ManojkMohan</dc:creator>
      <dc:date>2025-09-13T16:23:21Z</dc:date>
    </item>
    <item>
      <title>Re: Simulating Real Time Streaming in Databricks free edition</title>
      <link>https://community.databricks.com/t5/data-engineering/simulating-real-time-streaming-in-databricks-free-edition/m-p/131872#M49278</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/155141"&gt;@ManojkMohan&lt;/a&gt;&amp;nbsp;,&lt;/P&gt;&lt;P&gt;Unfortunately there is no workaround here. Free Edition supports only serverless compute. And serverless has following streaming limitation - one of which you just encountered - &lt;STRONG&gt;there is no support for default or time-based trigger intervals:&lt;/STRONG&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="szymon_dybczak_0-1757787425119.png" style="width: 400px;"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/19961iF54DBA1026746888/image-size/medium?v=v2&amp;amp;px=400" role="button" title="szymon_dybczak_0-1757787425119.png" alt="szymon_dybczak_0-1757787425119.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;You can still run your code but you need to provide supported trigger (for instance availableNow)&lt;/P&gt;&lt;LI-CODE lang="python"&gt;query = (telemetryDF.writeStream
         .format("delta")
         .outputMode("append")
         .option("checkpointLocation", "/tmp/telemetry_checkpoints")
         .option("path", "/tmp/telemetry_bronze")
         .trigger(availableNow=True)  # Process all available data now
         .start())&lt;/LI-CODE&gt;&lt;P&gt;If you want to POC other streaming triggers you need to either have access to Databricks Premium workspace with classic compute or just download OSS Apache Spark docker container.&lt;/P&gt;</description>
      <pubDate>Sat, 13 Sep 2025 18:20:36 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/simulating-real-time-streaming-in-databricks-free-edition/m-p/131872#M49278</guid>
      <dc:creator>szymon_dybczak</dc:creator>
      <dc:date>2025-09-13T18:20:36Z</dc:date>
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