<?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: Available Connectors for ServiceNow to Databricks in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/available-connectors-for-servicenow-to-databricks/m-p/132858#M49656</link>
    <description>&lt;P&gt;&lt;SPAN&gt;Thanks for your response and providing the various options. &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Databricks offering, &lt;STRONG&gt;Lake Flow&lt;/STRONG&gt; feature, connects to Service Now directly and allows for pipeline creation using low-code and no-code options. However, I need suggestions on creating a common pipeline for 200+ tables in Lake Flow Connect. Additionally, can Lake Flow Connect handle and process huge amounts of historical data?&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;Phani&lt;/SPAN&gt;&lt;/P&gt;</description>
    <pubDate>Tue, 23 Sep 2025 15:07:52 GMT</pubDate>
    <dc:creator>Phani1</dc:creator>
    <dc:date>2025-09-23T15:07:52Z</dc:date>
    <item>
      <title>Available Connectors for ServiceNow to Databricks</title>
      <link>https://community.databricks.com/t5/data-engineering/available-connectors-for-servicenow-to-databricks/m-p/132807#M49635</link>
      <description>&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Hi Team,&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;What are the available connectors to bring data and metadata from ServiceNow to Databricks, and what are the best options/best practices for integrating ServiceNow with Databricks&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN&gt;?&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;Regards,&lt;/P&gt;&lt;P&gt;Phani&lt;/P&gt;</description>
      <pubDate>Tue, 23 Sep 2025 08:55:23 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/available-connectors-for-servicenow-to-databricks/m-p/132807#M49635</guid>
      <dc:creator>Phani1</dc:creator>
      <dc:date>2025-09-23T08:55:23Z</dc:date>
    </item>
    <item>
      <title>Re: Available Connectors for ServiceNow to Databricks</title>
      <link>https://community.databricks.com/t5/data-engineering/available-connectors-for-servicenow-to-databricks/m-p/132809#M49636</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/36892"&gt;@Phani1&lt;/a&gt;&amp;nbsp;,&lt;/P&gt;&lt;P&gt;There's official databricks service now connection. You can read about it at below link:&lt;/P&gt;&lt;P&gt;&lt;A href="https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/servicenow-source-setup" target="_blank"&gt;Configure ServiceNow for Databricks ingestion - Azure Databricks | Microsoft Learn&lt;/A&gt;&lt;/P&gt;&lt;P&gt;And here you have example of how to create ingestion pipeline using that connector:&lt;/P&gt;&lt;P&gt;&lt;A href="https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/servicenow-pipeline" target="_blank"&gt;Create a ServiceNow ingestion pipeline - Azure Databricks | Microsoft Learn&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 23 Sep 2025 09:03:42 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/available-connectors-for-servicenow-to-databricks/m-p/132809#M49636</guid>
      <dc:creator>szymon_dybczak</dc:creator>
      <dc:date>2025-09-23T09:03:42Z</dc:date>
    </item>
    <item>
      <title>Re: Available Connectors for ServiceNow to Databricks</title>
      <link>https://community.databricks.com/t5/data-engineering/available-connectors-for-servicenow-to-databricks/m-p/132858#M49656</link>
      <description>&lt;P&gt;&lt;SPAN&gt;Thanks for your response and providing the various options. &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Databricks offering, &lt;STRONG&gt;Lake Flow&lt;/STRONG&gt; feature, connects to Service Now directly and allows for pipeline creation using low-code and no-code options. However, I need suggestions on creating a common pipeline for 200+ tables in Lake Flow Connect. Additionally, can Lake Flow Connect handle and process huge amounts of historical data?&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;Phani&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 23 Sep 2025 15:07:52 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/available-connectors-for-servicenow-to-databricks/m-p/132858#M49656</guid>
      <dc:creator>Phani1</dc:creator>
      <dc:date>2025-09-23T15:07:52Z</dc:date>
    </item>
    <item>
      <title>Re: Available Connectors for ServiceNow to Databricks</title>
      <link>https://community.databricks.com/t5/data-engineering/available-connectors-for-servicenow-to-databricks/m-p/132874#M49661</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/36892"&gt;@Phani1&lt;/a&gt;&amp;nbsp;,&lt;/P&gt;&lt;P&gt;There is a limitation of this connector when it comes to number of tables per pipeline. So, t&lt;SPAN&gt;here is a limit of 250 tables per pipeline.&amp;nbsp;&lt;BR /&gt;But that's easy to overcome - to ingest more than 250 tables, create multiple pipelines.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;There' so limitation regarding loading historical data, In fact, this connector supports incremental loading pattern, so in theory it looks like perfect candidate to use as a servicenow integration tool.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;But, check following list of limitations for&amp;nbsp;this lakeflow connect connector to be sure that it's suitable for your use case:&lt;/SPAN&gt;&lt;/P&gt;&lt;DIV class=""&gt;&lt;H2 id="connector-specific"&gt;&lt;A href="https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/servicenow-limits" target="_blank" rel="noopener"&gt;ServiceNow connector limitations - Azure Databricks | Microsoft Learn&lt;/A&gt;&lt;/H2&gt;&lt;/DIV&gt;</description>
      <pubDate>Tue, 23 Sep 2025 17:08:39 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/available-connectors-for-servicenow-to-databricks/m-p/132874#M49661</guid>
      <dc:creator>szymon_dybczak</dc:creator>
      <dc:date>2025-09-23T17:08:39Z</dc:date>
    </item>
  </channel>
</rss>

