Automating Databricks Workflows - A Game Changer for Data Engineering

Hello Everyone, I am Naval Yemul. Welcome back to Data Master! Follow me on LinkedIn: https://www.linkedin.com/in/naval-yemul-a5803523/ In this video, we delve into Databricks workflows and jobs. This video is a continuation of our Databricks project playlist/podcast. Part 1 covered preparing for production with Databricks notebooks. In this video, we'll explore Databricks workflow jobs, including task configurations, trigger types, and scheduling. Finally, we'll demonstrate how to schedule these jobs. We'll discuss real-time use cases and scenarios. If you have any specific doubts or questions, please leave a comment on this video. Links: https://www.databricks.com/product/workflows https://learn.microsoft.com/en-us/azure/databricks/workflows/ Preparing for Production: Automating Databricks Notebook - Part 1 https://youtu.be/VyRi6d34lJQ Complete Databricks Playlist: https://www.youtube.com/playlist?list=PL7S7dD8r4QdVzOYRzIG2UJdCaCasqBv1F Databricks Certification Playlist: https://www.youtube.com/playlist?list=PL7S7dD8r4QdVnjXJQ3aObQPWjlaZwRVDo 0:00 Introduction to previous video on Preparing for Production ready notebook. 1:00 Overview on Databricks Workflows 2:51 Databricks Workflows Jobs 3:29 Types of Databricks Workflows: Jobs and DLT 4:51 Create Job and talking about Scenario 7:00 Task configurations 12:42 Explaining Notebook and widgets 17:26 Databricks Runs 19:08 Managing Dependencies (Theory) 20:44 Job Details/ Job Configuration 21:52 Schedules and Triggers 27:15 Triggered 29:47 Output 31:20 Thanking you #Databricks #Workflows #DataEngineering #JobScheduling #BigData #DataPipelines #ETL #DatabricksNotebooks #Automation #CloudComputing #DataManagement #TechTutorials #DataOps