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46 AIBI Dashboards & Visualizations | Consumer Access in Databricks | Forecasting Reports
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Databricks - Zero to Hero| Databricks With Unity Catalog | Databricks Tutorial 2025 | Databricks Training 2025 | Databricks tutorial for beginners - 46 AIBI Dashboards & Visualizations | Consumer Access in Databricks | Forecasting Reports

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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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Azure Databricks | AIBI Dashboards | Consumer Access in Databricks Video explains - What is AIBI Dashboards in Databricks? How to use Metric Views in AIBI Dashboards? How to use text Prompts in AIBI Dashboards? How to setup consumer access in Databricks? How to setup Databricks One Consumer Access? How to create Visualization in AIBI Dashboards? How to create Forecasting reports in AIBI Dashboards? How to share AIBI Dashboards in Databricks? Chapters 00:00 - Introduction 01:31 - How to create AI/BI Dashboards in Databricks? 02:42 - Add datasets for Dashboars 04:40 - Create Visualization in Dashboard 09:48 - How to create Custom Calculated columns in Dashboars in Databricks? 13:49 - Adding Filters in Dashboard 19:29 - Using AI prompts to generate Visualizations 20:37 - How to add comments in tables for AI dashboards to work? 22:00 - Using Metric Views for Dashboards 26:39 - Publish Dashboards for Consumption 28:20 - Forecasting data using AI/BI dashboards 30:52 - How to configure Consumer access for Business Users? Databricks Website: www.databricks.com Databricks Metric Views - https://learn.microsoft.com/en-us/azure/databricks/metric-views/create Data Warehousing Playlist - https://youtube.com/playlist?list=PL2IsFZBGM_IE-EvpN9gaZZukj-ysFudag&si=V3RiyxZ_fNBKj8dS The series provides a step-by-step guide to learning Databricks, a popular unified Data Intelligence Platform. New video in every 3 days ❤️ 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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