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    <title>topic Re: Handling Aggregations in Feature Function in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/handling-aggregations-in-feature-function/m-p/110786#M43687</link>
    <description>&lt;P&gt;Hi &lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/101172"&gt;@NaeemS&lt;/a&gt; !&lt;/P&gt;&lt;P&gt;Have you managed to achieve this by any means? I'm facing the same question right now.&lt;/P&gt;</description>
    <pubDate>Thu, 20 Feb 2025 17:59:17 GMT</pubDate>
    <dc:creator>rafaelsass</dc:creator>
    <dc:date>2025-02-20T17:59:17Z</dc:date>
    <item>
      <title>Handling Aggregations in Feature Function</title>
      <link>https://community.databricks.com/t5/data-engineering/handling-aggregations-in-feature-function/m-p/70019#M33971</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;Is it possible to cater aggregation using Feature Functions somehow. As we know that the logic defined in feature function is applied on a single row when a join is being performed. But do we have any mechanism to handle to aggregations too somehow in our pipeline. We have methods like Pandas UDF ( with group by ) and UDAFs in Scala. Can we somehow leverage any of those for logging the group by and other conditions to automate our whole pipeline including the grouping and filtering conditions.&lt;/P&gt;&lt;P&gt;Thanks in Advance!&lt;/P&gt;</description>
      <pubDate>Mon, 20 May 2024 21:35:50 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/handling-aggregations-in-feature-function/m-p/70019#M33971</guid>
      <dc:creator>NaeemS</dc:creator>
      <dc:date>2024-05-20T21:35:50Z</dc:date>
    </item>
    <item>
      <title>Re: Handling Aggregations in Feature Function</title>
      <link>https://community.databricks.com/t5/data-engineering/handling-aggregations-in-feature-function/m-p/70497#M34069</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/9"&gt;@Retired_mod&lt;/a&gt;&amp;nbsp;,&lt;/P&gt;&lt;P&gt;Thanks for your reply. I'm familiar with both of these. But I was wondering if can include that part while logging our pipeline using feature stores to handle the grouping and filtering as well.&lt;/P&gt;</description>
      <pubDate>Thu, 23 May 2024 13:15:35 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/handling-aggregations-in-feature-function/m-p/70497#M34069</guid>
      <dc:creator>NaeemS</dc:creator>
      <dc:date>2024-05-23T13:15:35Z</dc:date>
    </item>
    <item>
      <title>Re: Handling Aggregations in Feature Function</title>
      <link>https://community.databricks.com/t5/data-engineering/handling-aggregations-in-feature-function/m-p/110786#M43687</link>
      <description>&lt;P&gt;Hi &lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/101172"&gt;@NaeemS&lt;/a&gt; !&lt;/P&gt;&lt;P&gt;Have you managed to achieve this by any means? I'm facing the same question right now.&lt;/P&gt;</description>
      <pubDate>Thu, 20 Feb 2025 17:59:17 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/handling-aggregations-in-feature-function/m-p/110786#M43687</guid>
      <dc:creator>rafaelsass</dc:creator>
      <dc:date>2025-02-20T17:59:17Z</dc:date>
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