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    <title>topic What are the most effective Activities you use when transforming data via a pipeline? in Data Engineering</title>
    <link>https://community.fabric.microsoft.com/t5/Data-Engineering/What-are-the-most-effective-Activities-you-use-when-transforming/m-p/3337245#M2138</link>
    <description>&lt;P&gt;I am relativey new to Azure Synapse and I'm trying to build some pipelines. There is a wide variety of activities to choose from. What are the most effective activities you use when building pipelines?. For example there is DataBricks Notebook and Synapse Notebook. I'm not sure which one to choose but I would imagine one of those notebooks will be enough to transform an entire dataset in a single script.&lt;/P&gt;</description>
    <pubDate>Tue, 18 Jul 2023 19:53:43 GMT</pubDate>
    <dc:creator>HamidBee</dc:creator>
    <dc:date>2023-07-18T19:53:43Z</dc:date>
    <item>
      <title>What are the most effective Activities you use when transforming data via a pipeline?</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/What-are-the-most-effective-Activities-you-use-when-transforming/m-p/3337245#M2138</link>
      <description>&lt;P&gt;I am relativey new to Azure Synapse and I'm trying to build some pipelines. There is a wide variety of activities to choose from. What are the most effective activities you use when building pipelines?. For example there is DataBricks Notebook and Synapse Notebook. I'm not sure which one to choose but I would imagine one of those notebooks will be enough to transform an entire dataset in a single script.&lt;/P&gt;</description>
      <pubDate>Tue, 18 Jul 2023 19:53:43 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/What-are-the-most-effective-Activities-you-use-when-transforming/m-p/3337245#M2138</guid>
      <dc:creator>HamidBee</dc:creator>
      <dc:date>2023-07-18T19:53:43Z</dc:date>
    </item>
    <item>
      <title>Re: What are the most effective Activities you use when transforming data via a pipeline?</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/What-are-the-most-effective-Activities-you-use-when-transforming/m-p/3339539#M2139</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&amp;nbsp;&lt;a href="https://community.fabric.microsoft.com/t5/user/viewprofilepage/user-id/344683"&gt;@HamidBee&lt;/a&gt;&amp;nbsp;Thanks for posting your question in Microsoft Fabric Community&lt;SPAN&gt;DataBricks Notebook and Synapse Notebook, both are powerful tools for data transformation. DataBricks Notebook is a fully managed, cloud-based platform for running Apache Spark-based workloads. Synapse Notebook is a serverless, web-based environment for running Apache Spark-based workloads. the&amp;nbsp;&lt;SPAN class=""&gt;basic difference is- if your workload is in Synapse then use synapse notebook and if your workload is in Databricks then use Databricks Notebook,&amp;nbsp;Both notebooks can be used to transform an entire dataset in a single script. The choice between the two depends on your specific requirements. If you need a fully managed platform with advanced features, DataBricks Notebook may be the better choice. If you need a serverless environment with a simpler interface, Synapse Notebook may be the better choice.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Regards&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Geetha&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 19 Jul 2023 22:15:41 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/What-are-the-most-effective-Activities-you-use-when-transforming/m-p/3339539#M2139</guid>
      <dc:creator>GeethaT-MSFT</dc:creator>
      <dc:date>2023-07-19T22:15:41Z</dc:date>
    </item>
    <item>
      <title>Re: What are the most effective Activities you use when transforming data via a pipeline?</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/What-are-the-most-effective-Activities-you-use-when-transforming/m-p/3349773#M2140</link>
      <description>&lt;P&gt;Thank you very much for clarifying this for me.&lt;/P&gt;</description>
      <pubDate>Tue, 25 Jul 2023 22:59:01 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/What-are-the-most-effective-Activities-you-use-when-transforming/m-p/3349773#M2140</guid>
      <dc:creator>HamidBee</dc:creator>
      <dc:date>2023-07-25T22:59:01Z</dc:date>
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