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52 Lakeflow Spark Declarative Pipelines | New Pipeline Code Editor | AUTO CDC |External Target Sinks
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Databricks - Zero to Hero| Databricks With Unity Catalog | Databricks Tutorial 2025 | Databricks Training 2025 | Databricks tutorial for beginners - 52 Lakeflow Spark Declarative Pipelines | New Pipeline Code Editor | AUTO CDC |External Target Sinks

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What you'll learn

This course includes

  • 15.3 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Lakeflow Spark Declarative Pipelines(SDP) | PySpark | DLT | Databricks Video Covers 👉🏻 How to create Lakeflow Spark Declarative Pipelines (SDP)? How to use the new Pipeline Editor in Databricks? What happened to DLT? DLT vs SDP? Chapters 00:00 - Introduction 04:22 - New Lakeflow Pipelines Editor UI 14:09 - Spark Declarative Pipeline Code 15:28 - SDP Streaming Tables 16:50 - SDP Materialized Views 18:14 - SDP SCD2 Table using AUTO CDC (previously apply changes) 22:24 - External Target Sink 24:35 - SDP Pipeline Execution 29:24 - Delete SDP ETL Pipeline 31:24 - Default Publishing Mode 32:55 - Using SQL code alsong with Python Playlist 👉🏻 - Databricks - https://www.youtube.com/playlist?list=PL2IsFZBGM_IGiAvVZWAEKX8gg1ItnxEEb - DLT - https://www.youtube.com/playlist?list=PL2IsFZBGM_IGpBGqxhkiNyEt4AuJXA0Gg - PySpark - https://www.youtube.com/playlist?list=PL2IsFZBGM_IHCl9zhRVC1EXTomkEp_1zm - Data Warehousing - https://youtube.com/playlist?list=PL2IsFZBGM_IE-EvpN9gaZZukj-ysFudag&si=V3RiyxZ_fNBKj8dS Documentation 👉🏻 - Databricks Website: www.databricks.com - https://learn.microsoft.com/en-us/azure/databricks/ldp/concepts - https://learn.microsoft.com/en-us/azure/databricks/ldp/where-is-dlt - https://learn.microsoft.com/en-us/azure/databricks/ldp/developer/python-ref#dlt-or-pipeline Code file on Github - https://github.com/subhamkharwal/databricks-zero-to-hero The series provides a step-by-step guide to learning Databricks, a popular unified Data Intelligence Platform. Follow Subham Khandelwal on LinkedIn and Don't forget to Share - https:// www.linkedin.com/in/subhamkharwal/ Disclaimer: This series is meant only to learning and teaching purpose. The host/tutor can not be held responsible for any misuse or any comments. The thoughts and views are of the tutor, it has nothing to do with the employer. #databricks #dataengineering #spark

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