Row and Column Level Access Control in Databricks

#Databricks #UnityCatalog #RowLevelAccessControl #ColumnLevel AccessControl

In today's data-driven world, ensuring the security and governance of your data is paramount. Welcome to our latest video, where we delve into the fascinating realm of data governance within #Databricks. 🛡️

Join us as we explore the powerful features of #Databricks #Unity Catalog and learn how to implement robust access control mechanisms at both the row and column levels. 📊💼

🔐 Discover how to safeguard sensitive information by limiting access to authorized users at a granular level.

🔍 Explore the benefits of row-level access control, which allows you to restrict data based on user roles and permissions.

📈 Dive into column-level access control and understand how it empowers you to fine-tune data visibility down to specific attributes.

🚀 Harness the full potential of Databricks to strengthen your data governance strategy and enhance security across your organization.

Whether you're a data professional, an IT manager, or simply curious about data governance, this video is your gateway to a deeper understanding of how #Databricks Unity Catalog can elevate your data security game.

Don't miss out on the insights and best practices shared in this video. Hit that "Subscribe" button and ring the notification bell to stay updated with the latest in data management and technology. Let's embark on this journey of data governance excellence together! 🌟

[sowjanyagvs]

its very informative, but i dont see any other videos to subscribe to your channel....pls keep doing more

[noorbashashaik]

What happens if i access the parquet files of a table directly from the underlying ADLS or S3? Will the columns be still masked ?

[katikivenkat]

Please share the note book if possible..thank you.. Nice video by the way..

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[bharathchunchu]

How about performance if we have column level masking on huge tables ?

[nishadt]

Does it require a unity catalog, unity catalog is mandetory?