cancel
Showing results for 
Search instead for 
Did you mean: 
Community Articles
Dive into a collaborative space where members like YOU can exchange knowledge, tips, and best practices. Join the conversation today and unlock a wealth of collective wisdom to enhance your experience and drive success.
cancel
Showing results for 
Search instead for 
Did you mean: 

Forum Posts

balajij8
by Esteemed Contributor II
  • 501 Views
  • 1 replies
  • 2 kudos

Databricks Lake flow - Orchestration Layer is moving to where it belongs

Discussed the BI & Metrics Tax elimination using Databricks Metric Views here. Organizations also face an older more persistent tax — the Ingestion Tax.To ingest data from a source like Salesforce or SQL Server into your Lakehouse, you typically stit...

  • 501 Views
  • 1 replies
  • 2 kudos
Latest Reply
alexjames3123
New Contributor II
  • 2 kudos

The point about “ingestion tax” is interesting because tooling sprawl can create hidden costs beyond the actual software licenses. Fragmented pipelines, maintenance work, and governance gaps can all add operational overhead as data environments grow....

  • 2 kudos
ShamenParis
by Contributor III
  • 635 Views
  • 4 replies
  • 5 kudos

Visual, step-by-step curriculum for mastering DABs and Infrastructure as Code

Most public GitHub repositories for Databricks are just dry code dumps. You get a massive YAML file, a basic README, and are expected to just figure it out.When building production-grade infrastructure, engineers need to see the architecture and unde...

  • 635 Views
  • 4 replies
  • 5 kudos
Latest Reply
cartergray70543
Contributor
  • 5 kudos

Great resource—visual architecture and real-world DABs examples make this much easier to learn and apply in production.

  • 5 kudos
3 More Replies
Coffee77
by Honored Contributor III
  • 231 Views
  • 1 replies
  • 2 kudos

🇪🇸 ☕ ¿Cómo organiza Databricks tus datos? | De Unity Catalog a Delta Lake ⚡

Aquí os dejo mi nuevo vídeo sobre Databricks para la comunidad de hablantes en español. Se recorre la arquitectura de datos de Databricks desde el Workspace hasta los archivos Parquet que almacenan físicamente la información.El objetivo no es simplem...

  • 231 Views
  • 1 replies
  • 2 kudos
Latest Reply
Coffee77
Honored Contributor III
  • 2 kudos

Correct video is here: 

  • 2 kudos
Coffee77
by Honored Contributor III
  • 130 Views
  • 0 replies
  • 1 kudos

☕ Qué es un CLUSTER en Databricks | Tipos, DBR, Serverless, Costes, DBUs y Spot Instances 🇪🇸 🚀

Nuevo video para la comunidad de Databricks en español  Todo el mundo usa clusters en Databricks… pero ¿sabes realmente qué ocurre cuando pulsas RUN?Driver. Workers. DBUs. Serverless. Photon. Autoscaling. Spot Instances…Conceptos que parecen independ...

  • 130 Views
  • 0 replies
  • 1 kudos
BS_THE_ANALYST
by Databricks Partner
  • 21331 Views
  • 14 replies
  • 35 kudos

Zero to Hero - Data Analysis Certification

Hey everyone, Today I passed my Data Analyst Associate exam! 拾I'd like to say thanks to the Databricks community. The questions that people ask and interactions I've been a part of have been invaluable. Starting tomorrow, I'll be moving onto my data ...

  • 21331 Views
  • 14 replies
  • 35 kudos
Latest Reply
Reeka
New Contributor II
  • 35 kudos

Anyone used or recommend Skillcertpro preparation guide for certification ?

  • 35 kudos
13 More Replies
Phani_sannala
by New Contributor III
  • 571 Views
  • 5 replies
  • 16 kudos

From 40 Minutes to 8 minutes: Why We Dropped MERGE in Our SAP BW to Databricks Gold Layer

Infra keeps getting faster, but the fix for a slow notebook is usually a config line, not a bigger cluster.One Spark Config, 32 Minutes Saved: Replacing MERGE with Dynamic Partition OverwriteBy @Phani_sannala , co-authored with @sridharplv Our gold n...

  • 571 Views
  • 5 replies
  • 16 kudos
Latest Reply
ozaaditya
Databricks Partner
  • 16 kudos

The zombie row bug is the real argument here reframing this from "MERGE is slow" to "MERGE is silently wrong for full-slice delivery" is what makes it land. Only thing I'd stress: dynamic partition overwrite is exactly as safe as your completeness ch...

  • 16 kudos
4 More Replies
AmitDECopilot
by Contributor
  • 436 Views
  • 2 replies
  • 2 kudos

Change Data Feed on Materialized Views Why I Think This Is More Than an Incremental Processing

 One interesting way to look at CDF on Materialized Views is the difference between source-level change and business-level change.CDC might tell us that five banking transactions changed. But after those transactions pass through our transformations,...

  • 436 Views
  • 2 replies
  • 2 kudos
Latest Reply
Phani_sannala
New Contributor III
  • 2 kudos

Good point, @AmitDECopilot  that gap between "row changed" and "value actually changed enough to matter" is where most CDC setups trip up. We hit the same thing on a Gold-layer project: CDF told us data moved, but teams really wanted to know "did the...

  • 2 kudos
1 More Replies
Labels