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    <title>topic Re: Data Engineering Template in Data Engineering</title>
    <link>https://community.fabric.microsoft.com/t5/Data-Engineering/Data-Engineering-Template/m-p/5230282#M16846</link>
    <description>&lt;P&gt;I don't have to. I am a programmer.&lt;/P&gt;</description>
    <pubDate>Tue, 23 Jun 2026 17:42:03 GMT</pubDate>
    <dc:creator>timeseriesIQR</dc:creator>
    <dc:date>2026-06-23T17:42:03Z</dc:date>
    <item>
      <title>Data Engineering Template</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/Data-Engineering-Template/m-p/5219174#M16770</link>
      <description>&lt;DIV class=""&gt;Does anyone use Excel/PowerQuery for Data Cleansing/Engineering? An Excel template I developed could be of interest.&lt;/DIV&gt;&lt;DIV class=""&gt;&amp;nbsp;&lt;/DIV&gt;&lt;DIV class=""&gt;There are only three buttons.&lt;/DIV&gt;&lt;DIV class=""&gt;&amp;nbsp;&lt;/DIV&gt;&lt;OL&gt;&lt;LI&gt;&lt;DIV class=""&gt;The&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;STRONG&gt;IQR Process&lt;/STRONG&gt;&amp;nbsp;button runs a process that flags your a column of data for unusually low or high statistical outliers using the&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;I&gt;IQR Statistical Rule&lt;/I&gt;.&lt;/DIV&gt;&lt;/LI&gt;&lt;LI&gt;&lt;DIV class=""&gt;The&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;STRONG&gt;K-means Clustering&lt;/STRONG&gt;&amp;nbsp;button lets you run a simple&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;I&gt;K-means Clustering&lt;/I&gt;&amp;nbsp;process on the same original column of data.&lt;/DIV&gt;&lt;/LI&gt;&lt;LI&gt;&lt;DIV class=""&gt;The&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;STRONG&gt;Start Over&lt;/STRONG&gt;&amp;nbsp;button deletes&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;I&gt;Columns B and C&lt;/I&gt;&amp;nbsp;created by the two buttons above.&lt;/DIV&gt;&lt;/LI&gt;&lt;/OL&gt;&lt;DIV class=""&gt;&amp;nbsp;&lt;/DIV&gt;&lt;DIV class=""&gt;The pop-up messages and 3&amp;nbsp;pivot tables let data analysts compare the results from the two processes and provide a means to filter extremes in their data when creating Power BI and other dashboards so KPIs are not skewed in reporting.&lt;/DIV&gt;</description>
      <pubDate>Fri, 19 Jun 2026 09:43:41 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/Data-Engineering-Template/m-p/5219174#M16770</guid>
      <dc:creator>timeseriesIQR</dc:creator>
      <dc:date>2026-06-19T09:43:41Z</dc:date>
    </item>
    <item>
      <title>Re: Data Engineering Template</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/Data-Engineering-Template/m-p/5219771#M16776</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.fabric.microsoft.com/t5/user/viewprofilepage/user-id/691686"&gt;@timeseriesIQR&lt;/a&gt;,&lt;/P&gt;
&lt;P&gt;We appreciate you sharing your work with the community and taking the time to explain your approach. I'm sure other community members will find it helpful.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Thank you.&lt;/P&gt;</description>
      <pubDate>Fri, 19 Jun 2026 12:24:45 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/Data-Engineering-Template/m-p/5219771#M16776</guid>
      <dc:creator>v-saisrao-msft</dc:creator>
      <dc:date>2026-06-19T12:24:45Z</dc:date>
    </item>
    <item>
      <title>Re: Data Engineering Template</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/Data-Engineering-Template/m-p/5222181#M16791</link>
      <description>&lt;P&gt;Here is my OneDrive link to the template I am talking about above if you want to download and try for free and follow along with what I said above in my post:&amp;nbsp;&lt;A href="https://1drv.ms/x/c/e6e20e628ff89088/IQCMzu0JwWduSK6xF9D31_IqAZUZinFWHp7UtgbHVOUlcWk" target="_blank"&gt;https://1drv.ms/x/c/e6e20e628ff89088/IQCMzu0JwWduSK6xF9D31_IqAZUZinFWHp7UtgbHVOUlcWk&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Sat, 20 Jun 2026 08:58:12 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/Data-Engineering-Template/m-p/5222181#M16791</guid>
      <dc:creator>timeseriesIQR</dc:creator>
      <dc:date>2026-06-20T08:58:12Z</dc:date>
    </item>
    <item>
      <title>Re: Data Engineering Template</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/Data-Engineering-Template/m-p/5230254#M16844</link>
      <description>&lt;P&gt;&lt;a href="https://community.fabric.microsoft.com/t5/user/viewprofilepage/user-id/691686"&gt;@timeseriesIQR&lt;/a&gt;&amp;nbsp;thank you for sharing your work with the community. Why it's an interesting and potentially useful approach using Excel with Microsoft Fabric for data cleansing would not be considered a suggested pattern. Fabric provides multiple native workloads for exactly such a purpose as part of an ETL/ELT process or as standalone analytical tools. In no particular order here is a recommended toolset for data cleansing in Microsoft Fabric:&lt;/P&gt;
&lt;OL&gt;
&lt;LI&gt;DataFlow Gen2 - a visual way of loading data from a data source, transforming data to a new shape and storing into a native Fabric storage such as Data Warehouse. Can be combined with other tools in data orchestration workflows.&lt;/LI&gt;
&lt;LI&gt;Spark Notebook - a code first workload for Spark engine that allows various data manipulations for all kinds of phases in ETL/ELT processes. Preferred way in Lakehouse-based architecture.&lt;/LI&gt;
&lt;LI&gt;SQL explorer - a T-SQL oriented environment that enables all kinds of data manipulations using T-SQL language. Preferred way in SQL-first data architectures.&lt;/LI&gt;
&lt;LI&gt;KQL Query Set - a time-series oriented environment native for working with time-series data stored in KQL databases. Can be used for DDL and DML operations.&lt;/LI&gt;
&lt;/OL&gt;
&lt;P&gt;If you are a beginner in Microsoft Fabric and trying to find your ways and migrate from convenient and familiar office-level data tools to a professioanal toolset of a unified enterprise-grade data platfrom I suggest you start educating yourself using specialized learning tracks on Microsoft Learn like this&amp;nbsp;&lt;A href="https://learn.microsoft.com/en-us/training/courses/dp-600t00#course-syllabus" target="_blank"&gt;Course DP-600T00-A: Implement analytics solutions using Microsoft Fabric - Training | Microsoft Learn&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 23 Jun 2026 17:30:09 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/Data-Engineering-Template/m-p/5230254#M16844</guid>
      <dc:creator>apturlov</dc:creator>
      <dc:date>2026-06-23T17:30:09Z</dc:date>
    </item>
    <item>
      <title>Re: Data Engineering Template</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/Data-Engineering-Template/m-p/5230282#M16846</link>
      <description>&lt;P&gt;I don't have to. I am a programmer.&lt;/P&gt;</description>
      <pubDate>Tue, 23 Jun 2026 17:42:03 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/Data-Engineering-Template/m-p/5230282#M16846</guid>
      <dc:creator>timeseriesIQR</dc:creator>
      <dc:date>2026-06-23T17:42:03Z</dc:date>
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