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arthurfr23
by • New Contributor III
  • 424 Views
  • 2 replies
  • 1 kudos

PARTITIONED BY, Liquid Clustering, and OPTIMIZE: when should you use each?

I put together a practical guide to Delta Lake table layouts, with SQL examples in Databricks:When to consider partitioning or Liquid Clustering.How OPTIMIZE works with partitions, ZORDER, and clustering.How to compare bytes scanned, query latency, a...

  • 424 Views
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  • 1 kudos
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arthurfr23
New Contributor III
  • 1 kudos

Thanks @Satyasai !!!!

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SvenRelijveld
by • Databricks Partner
  • 368 Views
  • 1 replies
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Row-level security for a RAG agent: what Unity Catalog enforces, and what you have to build

Two colleagues ask the same chatbot the same question. Should they get the same answer, ordifferent ones because they are allowed to see different things? Every organisation that puts an AIassistant on top of its own documents runs into this sooner o...

  • 368 Views
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SvenRelijveld
Databricks Partner
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I'd love to be able to update this, because I pressed reply too early

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Tushar_Parekar
by • Databricks Employee
  • 597 Views
  • 1 replies
  • 3 kudos

Solution Accelerator Series | Entity Resolution for Public Sector

Public sector agencies need well-informed decisions to support the livelihood and security of citizens. The Entity Resolution for Public Sector Solution Accelerator shows how entity resolution can connect disparate data sources, reveal relationships ...

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  • 597 Views
  • 1 replies
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AnhPT
New Contributor III
  • 3 kudos

great

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Brahmareddy
by • Esteemed Contributor II
  • 3088 Views
  • 4 replies
  • 4 kudos

What Does “Full Stack Development” Mean in the World of Databricks

Hi All, Many teams using Databricks today are referring to their work as “full stack development,” which can be a bit confusing at first. In the Databricks context, this doesn't mean a new framework — it simply means handling everything from raw data...

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ryanlawrence
New Contributor II
  • 4 kudos

In Databricks, full stack development means building the complete solution around the data platform—from data ingestion and processing with Spark/Delta Lake to APIs, AI/ML models, dashboards, and user-facing applications. It connects Databricks’ data...

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Khasim_1
by • Contributor
  • 283 Views
  • 0 replies
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Architecting a Medallion Lakehouse

Hi Everyone,Recently, I led an end-to-end Lakehouse project for a client that was struggling with manual, error-prone reporting and disconnected data silos. Their core business problem was simple yet critical: the business could not trust its own num...

  • 283 Views
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devipriya
by • New Contributor III
  • 17573 Views
  • 5 replies
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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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  • 17573 Views
  • 5 replies
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jhonalbert
New Contributor II
  • 9 kudos

Congratulations on your achievement! Your tips are really helpful. I also found this resource useful during my preparation: https://ln.run/-c8lD. It worked well alongside the official learning materials.

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DPatil
by • Contributor
  • 384 Views
  • 1 replies
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Tech summit FY 2027

Just wrapped Partner Tech Summit: four days across Genie & Agents, the Lakehouse Platform, Lakebase and Governance. The big lesson? AI doesn’t have an intelligence problem. It has a context problem. Well-governed, well-organised data is what turns it...

  • 384 Views
  • 1 replies
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DPatil
Contributor
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