topic Ingest Salesforce Data into Databricks using Lakeflow Connect + SCD Type 2 in MVP Articles https://community.databricks.com/t5/mvp-articles/ingest-salesforce-data-into-databricks-using-lakeflow-connect/m-p/157563#M200 <P><SPAN class="">In this hands-on tutorial, you’ll learn how to seamlessly </SPAN><SPAN class="">ingest Salesforce data into Databricks using Lakeflow Connect</SPAN><SPAN class="">&nbsp;and implement real-world data engineering patterns for scalable analytics.&nbsp;</SPAN></P><P><SPAN class=""><span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="salesforcedatabricks.png" style="width: 999px;"><img src="https://community.databricks.com/t5/image/serverpage/image-id/27250i36FCB20B1492B961/image-size/large?v=v2&amp;px=999" role="button" title="salesforcedatabricks.png" alt="salesforcedatabricks.png" /></span></SPAN></P><P><SPAN class="">Watch on YouTube:&nbsp;<A href="https://youtu.be/NxuThfalRRE?si=k1JiJegmG853h33d" target="_blank" rel="noopener">https://youtu.be/NxuThfalRRE?si=k1JiJegmG853h33d</A></SPAN></P><P><SPAN class=""><span class="lia-unicode-emoji" title=":small_blue_diamond:">🔹</span> What you’ll learn in this video: </SPAN></P><P><SPAN class=""><span class="lia-unicode-emoji" title=":white_heavy_check_mark:">✅</span> How to connect Salesforce to Databricks </SPAN></P><P><SPAN class=""><span class="lia-unicode-emoji" title=":white_heavy_check_mark:">✅</span> Perform a Full Load (Initial historical data ingestion) </SPAN></P><P><SPAN class=""><span class="lia-unicode-emoji" title=":white_heavy_check_mark:">✅</span> Configure Incremental Load for continuous data sync </SPAN></P><P><SPAN class=""><span class="lia-unicode-emoji" title=":white_heavy_check_mark:">✅</span> Implement Slowly Changing Dimension (SCD) Type 1– overwrite old values with latest updates </SPAN></P><P><SPAN class=""><span class="lia-unicode-emoji" title=":white_heavy_check_mark:">✅</span> Implement Slowly Changing Dimension (SCD) Type 2 – preserve historical changes with versioning </SPAN></P><P>&nbsp;</P><P><SPAN class=""><span class="lia-unicode-emoji" title=":pushpin:">📌</span> Use Cases Covered: </SPAN></P><UL class=""><LI><SPAN class="">Salesforce Opportunities data ingestion </SPAN></LI><LI><SPAN class="">Customer/Account historical tracking </SPAN></LI><LI><SPAN class="">Near real-time CRM analytics </SPAN></LI><LI><SPAN class="">Data warehouse modernization with Databricks </SPAN></LI></UL><P><SPAN class=""><span class="lia-unicode-emoji" title=":direct_hit:">🎯</span> Who is this for? </SPAN></P><UL class=""><LI><SPAN class="">Data Engineers / Architects </SPAN></LI><LI><SPAN class="">Analytics Engineers </SPAN></LI><LI><SPAN class="">Databricks Engineers </SPAN></LI><LI><SPAN class="">Salesforce Admins/Developers </SPAN></LI><LI><SPAN class="">Anyone preparing for Databricks or modern data platform roles </SPAN></LI></UL><P><SPAN class=""><span class="lia-unicode-emoji" title=":hammer_and_wrench:">🛠</span> Tech Stack: </SPAN></P><UL class=""><LI><SPAN class="">Databricks Lakeflow Connect </SPAN></LI><LI><SPAN class="">Salesforce </SPAN></LI><LI><SPAN class="">Delta Lake </SPAN></LI><LI><SPAN class="">Unity Catalog </SPAN></LI></UL><P>&nbsp;</P> Sun, 24 May 2026 14:45:42 GMT Abiola-David 2026-05-24T14:45:42Z Ingest Salesforce Data into Databricks using Lakeflow Connect + SCD Type 2 https://community.databricks.com/t5/mvp-articles/ingest-salesforce-data-into-databricks-using-lakeflow-connect/m-p/157563#M200 <P><SPAN class="">In this hands-on tutorial, you’ll learn how to seamlessly </SPAN><SPAN class="">ingest Salesforce data into Databricks using Lakeflow Connect</SPAN><SPAN class="">&nbsp;and implement real-world data engineering patterns for scalable analytics.&nbsp;</SPAN></P><P><SPAN class=""><span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="salesforcedatabricks.png" style="width: 999px;"><img src="https://community.databricks.com/t5/image/serverpage/image-id/27250i36FCB20B1492B961/image-size/large?v=v2&amp;px=999" role="button" title="salesforcedatabricks.png" alt="salesforcedatabricks.png" /></span></SPAN></P><P><SPAN class="">Watch on YouTube:&nbsp;<A href="https://youtu.be/NxuThfalRRE?si=k1JiJegmG853h33d" target="_blank" rel="noopener">https://youtu.be/NxuThfalRRE?si=k1JiJegmG853h33d</A></SPAN></P><P><SPAN class=""><span class="lia-unicode-emoji" title=":small_blue_diamond:">🔹</span> What you’ll learn in this video: </SPAN></P><P><SPAN class=""><span class="lia-unicode-emoji" title=":white_heavy_check_mark:">✅</span> How to connect Salesforce to Databricks </SPAN></P><P><SPAN class=""><span class="lia-unicode-emoji" title=":white_heavy_check_mark:">✅</span> Perform a Full Load (Initial historical data ingestion) </SPAN></P><P><SPAN class=""><span class="lia-unicode-emoji" title=":white_heavy_check_mark:">✅</span> Configure Incremental Load for continuous data sync </SPAN></P><P><SPAN class=""><span class="lia-unicode-emoji" title=":white_heavy_check_mark:">✅</span> Implement Slowly Changing Dimension (SCD) Type 1– overwrite old values with latest updates </SPAN></P><P><SPAN class=""><span class="lia-unicode-emoji" title=":white_heavy_check_mark:">✅</span> Implement Slowly Changing Dimension (SCD) Type 2 – preserve historical changes with versioning </SPAN></P><P>&nbsp;</P><P><SPAN class=""><span class="lia-unicode-emoji" title=":pushpin:">📌</span> Use Cases Covered: </SPAN></P><UL class=""><LI><SPAN class="">Salesforce Opportunities data ingestion </SPAN></LI><LI><SPAN class="">Customer/Account historical tracking </SPAN></LI><LI><SPAN class="">Near real-time CRM analytics </SPAN></LI><LI><SPAN class="">Data warehouse modernization with Databricks </SPAN></LI></UL><P><SPAN class=""><span class="lia-unicode-emoji" title=":direct_hit:">🎯</span> Who is this for? </SPAN></P><UL class=""><LI><SPAN class="">Data Engineers / Architects </SPAN></LI><LI><SPAN class="">Analytics Engineers </SPAN></LI><LI><SPAN class="">Databricks Engineers </SPAN></LI><LI><SPAN class="">Salesforce Admins/Developers </SPAN></LI><LI><SPAN class="">Anyone preparing for Databricks or modern data platform roles </SPAN></LI></UL><P><SPAN class=""><span class="lia-unicode-emoji" title=":hammer_and_wrench:">🛠</span> Tech Stack: </SPAN></P><UL class=""><LI><SPAN class="">Databricks Lakeflow Connect </SPAN></LI><LI><SPAN class="">Salesforce </SPAN></LI><LI><SPAN class="">Delta Lake </SPAN></LI><LI><SPAN class="">Unity Catalog </SPAN></LI></UL><P>&nbsp;</P> Sun, 24 May 2026 14:45:42 GMT https://community.databricks.com/t5/mvp-articles/ingest-salesforce-data-into-databricks-using-lakeflow-connect/m-p/157563#M200 Abiola-David 2026-05-24T14:45:42Z