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BS_THE_ANALYST
by Esteemed Contributor III
  • 475 Views
  • 2 replies
  • 7 kudos

Data Security at the level of columns or rows or Data masking

Hi everyone, I'm currently going through the Data Analyst learning path. I've just learned about Dynamic Views and I wanted to share the article on them: https://docs.databricks.com/aws/en/views/dynamic#before-you-begin There are some limitations on ...

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  • 475 Views
  • 2 replies
  • 7 kudos
Latest Reply
Louis_Frolio
Databricks Employee
  • 7 kudos

@BS_THE_ANALYST  Cool stuff, right!  Have read about Attribute-based Access Control (ABAC) yet? Check it out: https://docs.databricks.com/aws/en/data-governance/unity-catalog/abac/ Let me know what you think. Cheers, Louis.

  • 7 kudos
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ilir_nuredini
by Honored Contributor
  • 332 Views
  • 0 replies
  • 2 kudos

Databricks Asset Bundles with Python!

Databricks Asset Bundles now support Python!If you’re a Python fan, you can define jobs and pipelines in Python (or keep YAML) with DABs. You can create jobs from simple metadata, modify them during deployment with mutators, and convert existing jobs...

  • 332 Views
  • 0 replies
  • 2 kudos
devipriya
by New Contributor III
  • 1507 Views
  • 2 replies
  • 4 kudos

Getting Databricks Generative AI Engineer Associate (and What I Learned)

I just earned my Databricks Certified Generative AI Engineer Associate Certification, and in this post, I’m sharing the key tips, resources, and personal insights that helped me succeed. My certiticate from DatabricksNavigation:PreludeAbout the certR...

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  • 1507 Views
  • 2 replies
  • 4 kudos
Latest Reply
BR_DatabricksAI
Contributor III
  • 4 kudos

Thank you @devipriya for providing the detailed information on certifications. 

  • 4 kudos
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RahulGupta
by New Contributor III
  • 865 Views
  • 0 replies
  • 1 kudos

Lakehouse vs. Lakehouse Federation - Bridging the Next Evolution in Data Platforms

Over the past few years, the Lakehouse architecture has become the gold standard for managing modern data workloads. By combining the low-cost storage of data lakes with the reliability and performance of data warehouses, Lakehouses have redefined ho...

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Community Articles
Databricks Lakehouse DataEngineering LakehouseFederation
  • 865 Views
  • 0 replies
  • 1 kudos
devipriya
by New Contributor III
  • 710 Views
  • 0 replies
  • 2 kudos

Understanding Modern Databricks Warehousing for the AI era: A Beginner’s Guide

 IntroductionIn the current Gen AI buzz, most conversations focus on RAG for unstructured documents. But there’s another equally important challenge — making sense of structured data at scale.This is where tools like Databricks Genie step in, enablin...

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  • 710 Views
  • 0 replies
  • 2 kudos
DILIPKHANDELWAL
by New Contributor
  • 433 Views
  • 0 replies
  • 0 kudos

Apache Spark 4.0 — Big Data Engineering!

The latest Spark 4.0 release delivers powerful enhancements across SQL, Python, streaming, and connectivity — all aimed at making big data workloads more efficient, reliable, and developer-friendly.With Databricks Runtime 17.0, these capabilities are...

  • 433 Views
  • 0 replies
  • 0 kudos
devipriya
by New Contributor III
  • 2735 Views
  • 0 replies
  • 1 kudos

Pipelines to Prompts: Getting started with Databricks and AWS

NAVIGATION:Why Data EngineeringThe Role of Data Engineering in GenAIWhat is Databricks? Unifying Data and AI on One PlatformDatabricks on AWS: A Full-Stack Platform for GenAIHands-On ExerciseFuture-Proofing: Why Data + AI Skills Matter Now More Than ...

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  • 2735 Views
  • 0 replies
  • 1 kudos
RahulGupta
by New Contributor III
  • 2129 Views
  • 1 replies
  • 3 kudos

Understanding Liquid Clustering in Databricks - The Next Evolution in Data Optimisation

In the world of big data, organising data smartly is just as important as collecting it. When working with large datasets in Databricks using Delta Lake, how your data is stored and ordered can greatly impact performance, especially for queries. Trad...

  • 2129 Views
  • 1 replies
  • 3 kudos
Latest Reply
Louis_Frolio
Databricks Employee
  • 3 kudos

Great post, Rahul! You’ve nailed the key trade-offs perfectly. The Appeal: LC is “set it and forget it” data management—no more manual OPTIMIZE jobs or performance firefighting. The Reality Check: Single-column clustering works great for high-cardina...

  • 3 kudos
Charansai
by New Contributor III
  • 987 Views
  • 2 replies
  • 0 kudos

Recommendations for Designing Cluster Policies Across Dev/QA/Prod Environments for DE and DA teams

Hi Community,We are working on implementing Databricks cluster policies across our organization and are seeking advice on best practices to enforce governance, security, and cost control across different environments.We have two main teams using Data...

  • 987 Views
  • 2 replies
  • 0 kudos
Latest Reply
Charansai
New Contributor III
  • 0 kudos

I just want to confirm one more thing here is that me as admin managing the cluster creation and no user will have access to create them me know how the cluster policies help me in this perspective.

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RiyazAliM
by Honored Contributor
  • 2468 Views
  • 4 replies
  • 7 kudos

The Open Source DLT Meta Framework

DLT Meta is an open-source framework developed by Databricks Labs that enables the automation of bronze and silver data pipelines through metadata configuration rather than manual code development.At its core, the framework uses a Dataflowspec - a JS...

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  • 2468 Views
  • 4 replies
  • 7 kudos
Latest Reply
sridharplv
Valued Contributor II
  • 7 kudos

Great Article Riyaz. keep Sharing more knowledge

  • 7 kudos
3 More Replies
Nidhi_Patni
by New Contributor III
  • 1717 Views
  • 2 replies
  • 5 kudos

How We Built Robust Data Governance at Scale

In today's data-driven world, trust is currency—and that trust starts with quality data governed by strong principles. For one of our client, where we're on a mission to build intelligent enterprises with AI, data isn't just an asset—it's a responsib...

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  • 1717 Views
  • 2 replies
  • 5 kudos
Latest Reply
Dr-Sylvester
New Contributor III
  • 5 kudos

Great Article  @Nidhi_Patni 

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1 More Replies
ayushbadhera1
by New Contributor III
  • 1301 Views
  • 2 replies
  • 6 kudos

Databricks LLM Evolution and Future Prospects

Databricks LLM Evolution and Future ProspectsDatabricks has progressed from a big-data compute engine to a full-stack AI powerhouse that designs, trains, and serves state‐of‐the-art large language models (LLMs). This article explores two key technica...

  • 1301 Views
  • 2 replies
  • 6 kudos
Latest Reply
ayushbadhera1
New Contributor III
  • 6 kudos

Thanks, @RiyazAliM, for checking out the blog post!More insights on Databricks LLM and Dolly are on the way in the next one. Stay tuned and keep learning!Best,Ayush

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hozefa413
by New Contributor III
  • 3426 Views
  • 3 replies
  • 9 kudos

Modernizing Legacy Data Platforms to Lakehouse for AI-Readiness

As organizations increasingly migrate from legacy platforms—like on-prem SQL Server, Oracle Exadata, Teradata, Informatica, Cloudera, or Netezza—to modern cloud architectures, one critical question often arises:"Are we just lifting and shifting the s...

  • 3426 Views
  • 3 replies
  • 9 kudos
Latest Reply
sridharplv
Valued Contributor II
  • 9 kudos

Great article @hozefa413 , It shows all your expertise and delivery excellence

  • 9 kudos
2 More Replies

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