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DAIS 2026 Brought 2,800 New Members to the Databricks Community - Welcome Aboard

  Welcome to the family 2,800 new members.And counting. DAIS 2026 brought a wave of new faces to the Databricks Community. If you just joined, welcome. This post is for you: what just happened, what Community is, and what you can do here. What...

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Thursday
Advanced Learning Festival: 15 June - 06 July 2026

Grow Your Skills and Earn Rewards! Mark your calendar: June 15 – July 6, 2026 Join us for a three-week event dedicated to learning, upskilling, and advancing your career in data engineering, analytics, machine learning, and generative AI. Whethe...

  • 134906 Views
  • 295 replies
  • 109 kudos
05-14-2026
FREE TRAINING: Databricks Business Impact Accelerator

Join Our Business Impact Accelerator Sessions! We are thrilled to invite you to the Business Impact Accelerator, a specialized single-session program designed specifically for business professionals, executives, and non-technical teams. If yo...

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3 weeks ago
Build apps without jumping through hoops

Learn how the lakebase architecture decouples compute from storage, so you can build, ship and run agents and apps faster. Databricks has introduced a new category of serverless Postgres database built to integrate seamlessly with your lakehouse sta...

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2 weeks ago
Databricks Community Champion - June 2026 - Amira Bedhiafi

Our Community Champion Program celebrates members who go above and beyond to share knowledge, support fellow practitioners, and help make the Databricks Community a valuable place to learn and grow. Each month, we recognize individuals whose expertis...

  • 315 Views
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Friday
Solution Accelerator Series | Creating Brand-Aligned Images Using Generative AI

Brand imagery plays an important role in how retail companies express their identity and connect with customers. The Creating Brand-Aligned Images Using Generative AI Solution Accelerator shows how organizations can use generative AI to interpret ele...

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Wednesday
🌟 Community Pulse: Your Weekly Roundup! June 15 – 21, 2026

The Weekly Digest • June 15 – June 21 Community Pulse DAIS was electric – and the community didn't hold back.Fair warning: this edition came out extra vibrant, DAIS had that effect on us. This Week's Community Stars   A warm welcome to our newes...

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Wednesday

Community Activity

Abiola-David
by > Databricks MVP
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Databricks Visual Data Prep with Star Schema Data Modelling Technique

In this video, you'll learn how to use Databricks Visual Data Prep to clean, transform, and enrich data using a no-code, AI-assisted visual interface for building production-ready data pipelines. Whether you're a data engineer, data analyst, or just...

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mou
by > Databricks Partner
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Five Unity Catalog ABAC Updates Worth Paying Attention To

ABAC in Unity Catalog already gave teams a better way to apply row filters and column masks at scale. Instead of rebuilding the same access logic table by table, teams can classify data with governed tags and let policies apply automatically across a...

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AmitDECopilot
by > New Contributor III
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How would you design a Spark pipeline to process billions of records efficiently?

Interview Question:Many people start with the row count.I would start with the architecture.Billions of records are not new in enterprise data engineering. The real challenge is designing a pipeline that runs predictably, efficiently, and within SLA....

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sagarpgowda7777
by > Visitor
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MCP on Databricks

Here’s What Nobody Tells You.A hands-on look at Genie MCP and DBSQL MCP — what works, what doesn’t, and when to skip MCP entirely.Let me start with something most MCP content skips. MCP servers don’t just expose tools. They expose three things — tool...

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humayun
by > New Contributor II
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Deprecation of DBFS?

I am using Azure Databricks DBFS. I have stored some python scripts, notebooks in folders in DBFS root and have mounted ADLS Gen2 to DBFS. Currently I do not have Unity Catalog enabled and this was setup 3-4 years ago. I came across this article http...

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Latest Reply
JeninaAngelin7
New Contributor
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In current state, when DBFS is disabled in a workspace, both the root filestore and mount paths become inaccessible.What is deprecated are:DBFS root storage the workspace‑provisioned filestore - /dbfs/FileStore/, /dbfs/root/ etc.DBFS mounts (/dbfs/mn...

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2 More Replies
faruk
by > New Contributor II
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  • 7 replies
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Resolved! Data Dictionary and Unity Catalog: Best Practices in a Medallion Architecture

Hi everyone,I'm currently working on implementing a data dictionary, and I'm struggling to understand what the best approach is when using a Medallion architecture in Databricks.My company is migrating its data to Databricks so that users can consume...

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Latest Reply
emma_s
Databricks Employee
  • 5 kudos

Hi, This is a challenging area to get right, especially with so many tables and schemas. Unity Catalog is definitely a good bet for storing this metadata. There are a few approaches that you could take to the data definitions part, and it depends on ...

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6 More Replies
darek554
by > Visitor
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Code on cluster runs idefinitely

Hello.Ive created a custom cluster - m4.large. When i try to execute some code in this cluster the behaviour is as follows:- Cluster starts, have running status- I run code, for example print("Hello")- Code runs indefinitely- I click interrupt, it st...

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Latest Reply
Yogasathyandrun
New Contributor II
  • 0 kudos

The fact that print("Hello") eventually works but SELECT 1 never completes suggests the cluster may be running but not fully initialized for Spark workloads.A few things I’d check first:Cluster Event Log for any provisioning or startup errors.Spark U...

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romquesta
by > New Contributor III
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AI Is Becoming a Data Problem Before It Becomes a Model Problem

The conversation around AI often starts with models. In reality, long-term value comes from how well data pipelines, governance, and workflows work together.The teams moving fastest seem to be simplifying their stack instead of expanding it.What tren...

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Latest Reply
ManuelMolina
New Contributor
  • 1 kudos

Coming from a statistics background, this makes a lot of sense to me. Before any model, we always spend most of the time just cleaning and validating data. the actual modeling is usually the smaller part.I think that's why the medallion architecture ...

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3 More Replies
Rishabh_Tiwari
by Community Manager
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Databricks Community Champion - June 2026 - Amira Bedhiafi

Our Community Champion Program celebrates members who go above and beyond to share knowledge, support fellow practitioners, and help make the Databricks Community a valuable place to learn and grow. Each month, we recognize individuals whose expertis...

image (30).png Screenshot 2026-06-26 at 2.27.24 PM.png
  • 315 Views
  • 5 replies
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Latest Reply
Sumit_7
Esteemed Contributor
  • 5 kudos

Congrats @amirabedhiafi!- well deserved.

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4 More Replies
DazzaiDe
by > New Contributor III
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DAB best practices suggestion

We're currently setting up Databricks Asset Bundles (DAB) with a CI/CD pipeline using Azure DevOps.Our planned development workflow is as follows:Main branch → Developer creates a feature branch → Implement changes → Create a Pull Request → Senior de...

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Latest Reply
balajij8
Contributor III
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You can create Databricks Asset Bundles that are decoupled by domain, managed via multi target declarations within configuration and also driven by immutable, versioned artifacts stored securely within Unity Catalog Volumes. You can rely on explicit ...

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animeshjain
by > New Contributor
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Bundle deployment overwrites artifacts while jobs are running - best practices?

Hi everyone,I'm using #Declarative Automation Bundles (DAB) to deploy data pipelines, and I've run into an issue with concurrent job runs and deploymentWhat happened:I started a job that depends on a wheel file built by the bundle (timestamped artifa...

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Latest Reply
sudhaktr
New Contributor II
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Do you have source_linked_deployment set as false? That's probably causing it.

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2 More Replies
VikasM
by > New Contributor
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  • 14 replies
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Resolved! PySpark AnalysisException: Ambiguous reference to field t when parsing nested JSON

I'm working on a personal data engineering project using Kafka, Spark Structured Streaming, and Docker.The application consumes two Kafka topics that originate from an external market-data websocket source:a trade streama candlestick (kline/OHLCV) st...

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  • 14 replies
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Latest Reply
balajij8
Contributor III
  • 5 kudos

Spark Structured Streaming writes to file sinks and generally it uses a phased commit by writing temporary files to the output directory followed by writing metadata with references and a final commit by moving/renaming temp files to final names. You...

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AmitDECopilot
by > New Contributor III
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LTAP: What Databricks New Transactional-Analytical Architecture Means for Data Engineers

For years, enterprise data architecture has followed a familiar pattern.An application writes customer orders, account updates, inventory changes, or transactions into an operational database.Then data engineering takes over.We capture changes throug...

  • 205 Views
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VijayRam
by > New Contributor
  • 117 Views
  • 1 replies
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Need Labs Access for Data Engineering Learning Plan

I am currently going through the Data Engineering Learning Plan. As I progress through the course, I noticed that it refers to labs, but I'm not sure where I can find or access them.It would be very helpful if someone could guide me on how to access ...

  • 117 Views
  • 1 replies
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Latest Reply
Yogasathyandrun
New Contributor II
  • 0 kudos

The labs referenced in the Data Engineer Learning Plan aren’t included in the free learning plan itself.Those hands-on labs are available through the Databricks Academy Labs subscription, which provides access to the lab-enabled versions of the cours...

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Hubert-Dudek
by Databricks MVP
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runtime CI/CD

Not only is code CI/CD possible, but runtime CI/CD is now possible thanks to #databricks docker. more about it: https://databrickster.medium.com/databricks-docker-from-runtime-ci-cd-to-compliance-1479cf6cdf8d https://www.sunnydata.ai/blog/databricks-...

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Data + AI Summit 2026
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