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Community BrickTalk | One Platform, Any Source: Unifying Enterprise Data with Lakeflow Connect

Hey Databricks Community! Join us for a free, community-sponsored BrickTalk on Thursday, September 17, 2026! BrickTalks is a community event series where Databricks experts share real-world use cases, demos, and practical insights for building with d...

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an hour ago
DATA + AI World Tour 2026

REGISTRATION IS NOW OPEN The Data + AI World Tour is heading your way A free, one-day event on how organizations are building AI they can trust to deliver real outcomes - by grounding models in their own enterprise data and business context. THE...

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Tuesday
Databricks Advanced Learning Festival: September 16 - October 14 2026

Databricks Advanced Learning Festival September 16 – October 14, 2026 Join us for a four-week event dedicated to learning, upskilling, and advancing your career in data engineering, analytics, machine learning, and generative AI. Whether you are...

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  • 23 kudos
2 weeks ago
Virtual Event | Closing the AI Context Gap: How to Teach AI How Your Business Actually Runs

Virtual Event Time: AMER Sept 23 / 9 AM PTEMEA Sept 24 / 9 AM BST / 10 AM CESTAPJ Sept 24 / 9:30 AM IST / 12 PM SGT / 1 PM JST/KST / 2 PM AEST (Japanese and Korean captions available) Register for the Workshop Note: Marking RSVP on this Community ...

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Wednesday
Databricks EMEA Learning Festival | September 29-30

Databricks EMEA Learning Festival Hands On Virtual Training 29–30 September 2026 · 09:00 BST / 10:00 CEST · Fully virtual · Free to join Ready to accelerate your journey on Data & AI? Join us for the EMEA Learning Festival.  A two-day, hands-on vir...

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4 weeks ago
Databricks Community Champion - July 2026 - Emma Stowell

Our Community Champion Program has always been about recognizing individuals who consistently show up to support others, share their expertise, and strengthen the Databricks Community. Alongside our customers, we’re equally proud to recognize the inc...

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a month ago
Solution Accelerator Series | Subscriber Churn Prediction

Subscriber attrition can be difficult to anticipate. The Subscriber Churn Prediction Solution Accelerator shows how to analyze behavioral data, identify subscribers at increased risk of cancellation, and use machine learning to estimate churn likelih...

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Tuesday
🌟 Community Pulse: Your Weekly Roundup! August 24 – 30, 2026

The Weekly Digest • August 24 – 30 Community Pulse A new week, a fresh wave of articles, answers, and discussions. Here's your weekly catch-up. This Week's Community Stars   The members who showed up and made a difference this week : @balajij8...

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Thursday

Community Activity

jeremiasInetum
by > Visitor
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Lakebase Postgres branch stuck "disabled" after auto-archive → unarchive (Public Preview)

Hi all,Running into what looks like a platform bug with Lakebase Postgres (Public Preview) and hoping a community engineer can help, since my Databricks support case (#01009170) was closed as out of entitlement (personal account, no support contract)...

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  • 1 kudos
Tushar_Parekar
by Databricks Employee
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Community BrickTalk | One Platform, Any Source: Unifying Enterprise Data with Lakeflow Connect

Hey Databricks Community! Join us for a free, community-sponsored BrickTalk on Thursday, September 17, 2026! BrickTalks is a community event series where Databricks experts share real-world use cases, demos, and practical insights for building with d...

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kartheek_rao
by > New Contributor II
  • 193 Views
  • 1 replies
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Streaming Doesn't Mean Your Compute Needs to Run Forever

When I first started working with streaming in Databricks, I had a very simple picture in my head:Streaming = keep the cluster running and process data continuously.New data arrives → Spark sees it → process it → repeat forever.Technically, that can ...

  • 193 Views
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Latest Reply
TheDataMaverick
Databricks Partner
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The most expensive assumption in a streaming architecture is often the assumption that streaming means always-on compute.Very good point. I think the distinction between streaming data and always-on compute is one of the most important architectural ...

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elopez95
by > New Contributor
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Bajar costos de lectura en databricks

Hola colegas me gustaria abrir un pequeño debate de como bajar los costos de usar los sql warehouse en databricks que al final del dia son los que mas nos suman en la factura, cuales serian las buenas practicas para ir bajando estos costos.

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Latest Reply
TheDataMaverick
Databricks Partner
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 Totalmente de acuerdo. En muchos entornos, el costo de los SQL Warehouses puede crecer rápidamente, pero normalmente no se trata solamente de “usar un Warehouse más pequeño”. Yo revisaría el problema en varias capas:Optimizar las queries primeroAnte...

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srikanthp24
by > New Contributor
  • 190 Views
  • 2 replies
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Lakeflow connect Ingestion pipeline notification for gateway pipeline

Hi Guys,As you guys know that when we are building lake flow connect ingestion pipeline in UI. The pipeline consist both gateway pipeline and ingestion pipeline together. We have notification for the ingestion pipeline but not for gateway pipeline. I...

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Latest Reply
data_pulse
New Contributor
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Hi @srikanthp24 Yes, the solution mentioned by @Ashwin_DSA is the mechanism currently available is either with DABs (preferred)/ CLI based as the UI doesn't yet allow configuring notifications at pipeline level.One caveat is that, even after configur...

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spoltier
by > New Contributor III
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VS Code and Connect - Manual Environment Setup

The current version of the extension forces usage of certain python packaging / project tools. I used to be able to use the extension with my project which uses pixi, by setting up the dependencies myself in pyproject.toml / pixi.toml.The current ver...

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  • 4 replies
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Latest Reply
mancy34
New Contributor II
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I’m running into the same kind of issue with projects that already have their own environment setup. Being able to manually select the Python environment/kernel without the extension forcing uv changes would make Connect much more flexible.

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AlexMiller
by Databricks Employee
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Building Stateful Agents on Lakebase

TL;DR — Production agents need more than conversation history. They must survive restarts, recall decisions from earlier sessions, and work with current business data. In our Supply Chain Planner Copilot, Lakebase handles all three. The key implement...

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youssefmrini
by Databricks Employee
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What’s new in Databricks - August 2026

  ️Data Engineering Databricks Spark Declarative Improvements You can refresh Materialized Views and Streaming Tables even when the pipeline owner or run as identity is subject to an ABAC. Materialized views and Streaming tables refreshes in Datab...

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Marbricks
by > New Contributor
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Using Temporary Functions

Hi everyone,I'm currently doing my professional internship and working on a reporting project that integrates with Databricks through Unity Catalog functions.The reporting application is external to Databricks and uses Data Sources, Parameters, Resul...

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Latest Reply
data_pulse
New Contributor
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@Marbricks Follow this approach: define the function’s interface first, then connect the real data. Use a temporary function for testing within the same session, and a persistent Unity Catalog function in a development schema for testing with the ext...

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VibinRoy_C
by > New Contributor III
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Databricks-Native AI Agent for Job Incident Detection, RCA & Safe Remediation

I’m exploring an architecture for a Databricks-native AI Agent for intelligent Spark job incident detection, root cause analysis (RCA), and safe remediation, and I would love your technical feedback.The ProblemA common operational challenge is the "S...

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Latest Reply
Satyasai
New Contributor
  • 0 kudos

Exactly Similar situtation , i have crated my own using Pythopn , VetcorDB and Knowledge graph, you can simulate same or Hire me , i can able to do it for you LOL..See this Video on my Linked In

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TyreseR19
by > New Contributor II
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Follow-up Regarding Missing 50% Certification Voucher – Learning Festival

Dear Databricks Team,I hope you are doing well.I am writing to follow up regarding the 50% certification voucher associated with the Databricks Learning Festival held from 15 June to 6 July.I successfully completed the courses under the Data Analyst ...

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Latest Reply
Advika
Community Manager
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Hello @TyreseR19, Could you please ensure that both required courses for the Data Analyst learning path were fully completed during the Learning Festival event window? Please verify that every component of each course is marked as completed, includin...

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anushnagesh
by > New Contributor
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  • 1 replies
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Tech Companies & Lakeflow Connect

Hello fellow techies,For the past few days I have been doing some R&D wrt Lakeflow connect. I came to the understanding that, Lakeflow Ingestion Pipeline and SQL server connection have a 1:1 mapping. This would mean that as number of servers scales n...

  • 62 Views
  • 1 replies
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Latest Reply
Satyasai
New Contributor
  • 0 kudos

Most modern enterprise data platforms favor managed ingestion (Lakeflow Connect) for standard relational databases like SQL Server. The operational complexity of monitoring 50 managed pipelines is significantly lower than maintaining custom CDC code,...

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wsm777
by > New Contributor
  • 196 Views
  • 1 replies
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Where can I find the Databricks Fundamentals Notebook?

Hi! I'm currently doing the Databricks Fundamentals Learning Plan and therés a couple of topics (Catalogs and Notebooks) where to follow up with the training I need a notebook name Databricks Fundamentals. In both videos, the video makes reference to...

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  • 1 replies
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Latest Reply
pikimu
Visitor
  • 0 kudos

did you ever figure this out, looking for those specific notebooks myself? I'm not sure if this is helpful, but in the Databricks free edition home page, there is a Databricks fundamentals course, which covers similar things (it is not exactly the sa...

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Dolly0503
by > New Contributor III
  • 87 Views
  • 3 replies
  • 1 kudos

How to extract table-level execution time and resource allocation within a multi-table Job?

Hi everyone,I am working on calculating accurate compute costs and execution times for individual tables within our Databricks environment, but I am running into an issue with metric granularity.Currently, we are fetching execution data based on job_...

  • 87 Views
  • 3 replies
  • 1 kudos
Latest Reply
Satyasai
New Contributor
  • 1 kudos

Try this link https://community.databricks.com/t5/data-engineering/how-to-calculate-cost-of-each-table-for-the-specific-databricks/td-p/167086 

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gowri_databrick
by > New Contributor
  • 78 Views
  • 2 replies
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Understanding Parquet File Storage for Large Datasets

Hi everyone,I’m learning about Parquet files and how they are used in Databricks for storing large datasets.I’m trying to understand how column-based storage works in a practical situation.For example, suppose an e-commerce company has 500 million or...

  • 78 Views
  • 2 replies
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Latest Reply
balajij8
Esteemed Contributor II
  • 0 kudos

@gowri_databrick Parquet's columnar storage organizes data by column rather than by row - all values for order_date are stored together, all order_amount values are stored together and so on. In your commerce scenario with 500 million records, when t...

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Building Stateful Agents on Lakebase

TL;DR — Production agents need more than conversation history. They must survive restarts, recall decisions from earlier sessions, and work with current business data. In our Supply Chain Planner Copi...

70Views 1kudos

GeoGenie 2: Ask your map a question in plain English

A year ago we put a natural-language layer on a 3D map. This time we rebuilt the whole thing on Lakebase and PostGIS, wired Genie to the same tables, and made the map answer back, drawn region and all...

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