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How to Extract Data from the table | Databricks AI Function |
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Databricks and PySpark | Full Course | - How to Extract Data from the table | Databricks AI Function |

4.0 (4)
29 learners

What you'll learn

This course includes

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

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Course link: https://www.geekcoders.co.in/courses/Databricks-End---End-Project--with-Delta-Lake-and-Gen-AI-685108965033f64f53e47035 In this video, we explore real-world customer support use-case stories that show how AI Functions in Databricks can extract meaningful insights from support tickets. You’ll see practical one-line scenarios like device issues after updates, hardware failures, accidental damage, and performance problems. We take these real customer situations and demonstrate how AI-powered text extraction can identify key entities such as device, problem, cause, and time — all with just a single SQL function. Perfect for: • Databricks learners • Data engineers working with unstructured text • Teams building GenAI + support automation • Anyone exploring AI Functions like ai_extract By the end, you’ll understand how to turn raw customer complaints into structured, actionable insights for faster troubleshooting and automation. Don’t forget to like, share, and subscribe for more Databricks + GenAI tutorials! 🔔 Subscribe for more Databricks, Gen AI, and real industry use cases! #databrickstutorial #aifunctionsdatabricks #coding

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