Скачать или смотреть 8. Managed vs External Tables in Databricks | Databricks Playlist

Confused about Managed Tables vs External Tables in Databricks? 🤔
In this video, we break down the differences, use cases, and advantages of both table types in the Databricks Lakehouse.

🔑 What you’ll learn in this video:
✔️ What are Managed Tables in Databricks?
✔️ What are External Tables in Databricks?
✔️ Key differences between Managed and External tables
✔️ How Databricks stores and manages data for both table types
✔️ Advantages and disadvantages of Managed vs External tables
✔️ Real-world use cases and when to choose which

✨ By the end of this tutorial, you will clearly understand how to design your tables in Databricks for different scenarios like governance, cost control, and integration with data lakes.

This video is perfect for data engineers, analysts, and anyone learning Databricks for projects, interviews, or real-world implementations.

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📽️ Chapters
⏱️ 0:00 - Introduction

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🙏 Hope you enjoyed the video and learned something valuable!
📺 See you in the next one — until then, Bye-Bye 👋

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#dataengineer #azuredataengineer #awsdataengineer #pyspark #databricks #adf #azuredatafactory #cloudcomputing #etl #datascience
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