FOR DATABRICKS LEARNERS Two free ways to grow yourDatabricks skills Both are free and live in the Databricks Community. Bookmark the one that fits where you are right now - or use both. 01 LEARNING PATHS Your Path to Certification What it is:...
- 593 Views
- 3 replies
- 3 kudos
a week ago
Hey Databricks Community! Join us for a free, community-sponsored BrickTalk on Thursday, October 8, 2026! Bricktalks is a community event series where Databricks experts share real-world use cases, demos, and practical insights for building with Data...
- 200 Views
- 0 replies
- 2 kudos
Monday
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...
- 1461 Views
- 0 replies
- 3 kudos
a month ago
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...
- 179367 Views
- 282 replies
- 81 kudos
08-21-2026
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...
- 4181 Views
- 1 replies
- 4 kudos
08-11-2026
Community Champion • Our Community Champion Program celebrates members who consistently contribute their expertise, support fellow practitioners, and help shape a stronger and more collaborative Databricks Community. Every month, we recognize individ...
- 974 Views
- 6 replies
- 7 kudos
2 weeks ago
Cybersecurity investigations often require sifting through large volumes of log and telemetry data to uncover the patterns and relationships behind threat activity. The Incident Investigation Using Graphistry Solution Accelerator shows how to query i...
- 65 Views
- 0 replies
- 1 kudos
yesterday
The Weekly Digest • September 7 – September 13 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 ...
- 456 Views
- 0 replies
- 4 kudos
2 weeks ago
Community Activity
- 17116 Views
- 10 replies
- 8 kudos
The log in function and password reset function in the community edition do not work
I want to register a databrick account. I already set up my account. I also receive the email to set my password. However, I cannot use my password to log in the community account. I can use it to log in my standard account. I also click the reset th...
- 17116 Views
- 10 replies
- 8 kudos
Latest Reply
- 8 kudos
Databricks guys claim at 190 Billion valuation ? or more ??Still struggling to send password reset email ??handover the project to me, I can create better customer experience!!! No team needed!!https://www.webassessor.com/#/twForgotPassword is the wo...
- 8 kudos
- 70 Views
- 1 replies
- 1 kudos
Dashboard DAB Deployment: default_catalog and default_schema do not work for metric views anymore
We deploy Dashboards using DAB. We set default_catalog and default_schema for the dashboard, so in the `dashboard.lvdash.json` we only need the last part of table and metric names. Starting yesterday (Sep 29th, 2026), this does not work anymore and w...
- 70 Views
- 1 replies
- 1 kudos
Latest Reply
- 1 kudos
This error occurs due to a recent update in strict validation enforcement in the Databricks Lakeview/Dashboard backend REST API (/api/2.0/lakeview/dashboards). In the past, when passing dataset_catalog and dataset_schema via the query parameters, the...
- 1 kudos
- 38 Views
- 1 replies
- 0 kudos
Quick clarification about GENAI or Context engineering certification
"I’m currently preparing for a GenAI certification, but recently came across the Context Engineering certification. As a Solution Architect, I’m curious — which certification provides greater advantage in shaping enterprise AI solutions? Would love t...
- 38 Views
- 1 replies
- 0 kudos
Latest Reply
- 0 kudos
To get the full perspective on what is needed to implement an enterprise GenAI solution, my advice would be to do both, starting with Generative AI Engineer and then Context Engineering. I wouldn’t say one provides greater advantages for shaping ente...
- 0 kudos
- 54 Views
- 0 replies
- 0 kudos
CUSTOMER STORY | ANA Seguros turns insurance data into faster decisions with AI/BI and Genie
“Databricks has been a fresh start for ANA Seguros, helping us move faster, work more efficiently and become a more data-driven company.” - Rubén Berbena, Data Manager, ANA Seguros As demand for data grew across pricing, sales, operations and leader...
- 54 Views
- 0 replies
- 0 kudos
- 61 Views
- 0 replies
- 0 kudos
Step-by-Step: Building a Vacation Rental Operations App with AppKit
Your team has analytics data in a SQL Warehouse. Leadership wants more than a dashboard — they want an app where ops reps can look up bookings, flag issues, add notes, and ask questions in plain English. You could wire up Express, a React app, SQL co...
- 61 Views
- 0 replies
- 0 kudos
- 23 Views
- 0 replies
- 0 kudos
Built my first Databricks App with Lakebase
Screenshot of my deployed app attached. Thanks for the great quest!#Databricks #Lakebase #AppKit
- 23 Views
- 0 replies
- 0 kudos
- 1577 Views
- 3 replies
- 1 kudos
Resolved! Recommended local development workflow for dashboard CI/CD with environment-specific catalog/schema?
Hi all,I’m trying to implement CI/CD for Databricks AI/BI dashboards using Declarative Automation Bundles, following guidance published by Databricks.The documentation recommends exporting dashboards as .lvdash.json using databricks bundle generate, ...
- 1577 Views
- 3 replies
- 1 kudos
Latest Reply
- 1 kudos
I too am facing the same issue, but my pipeline fails during the release. Previously the unqualified name was working and I moved my changes to Prod and its working fine there. I did move another lvdash dash file and now Im getting this error during ...
- 1 kudos
- 49 Views
- 1 replies
- 0 kudos
1.Not able to access interent (gcp databricks) 2.both ingress and egress access given
1.Not able to access interent (gcp databricks) 2.both ingress and egress access given in default policy2.How to overcome this issue and i am using serverless3.in free databricks able to use interent in gcp based databricks it is creating issueimport...
- 49 Views
- 1 replies
- 0 kudos
Latest Reply
- 0 kudos
@Hariharan_0510 A free workspace typically defaults to full egress access without any underlying VPC level restrictions. You can check the egress mode of the default network policy in the current setup. Go to Account Console and navigate to Security ...
- 0 kudos
- 63 Views
- 1 replies
- 0 kudos
Tip: Why your Delta MERGE fails with "multiple source rows matched" (and the simple fix)
Hi everyone If you run incremental loads with MERGE INTO on Delta tables, you may have seen a merge fail with an error saying multiple source rows matched the same target row.Why it happensA MERGE compares each row in your source batch to your target...
- 63 Views
- 1 replies
- 0 kudos
Latest Reply
- 0 kudos
Great breakdown! That exact error has tripped up many a CDC pipeline. When working in PySpark, I typically use a similar window approach with row_number() and a strict tiebreaker like a sequence number before registering the temporary view for the me...
- 0 kudos
- 222 Views
- 9 replies
- 0 kudos
Change data feed from a materialized view
Hi everyone,Trying the CDF on materialized view (declarative pipeline) feature that is currently in Beta.- Configuration:** Verified the MVs (materialized veiws) have: 'delta.enableRowTracking'SHOW TBLPROPERTIES my_mv ('delta.enableRowTracking'); re...
- 222 Views
- 9 replies
- 0 kudos
Latest Reply
- 0 kudos
Thanks for running the experiment, @cdn_yyz_yul. This one's useful, even though it failed. First, I owe you a correction. Last time I guessed version 3 failed because it was the first version in the freshly generated metadata log. Now version 28 fail...
- 0 kudos
- 531 Views
- 2 replies
- 3 kudos
Resolved! Designing an Effective "Quarantine" Pattern for Failed DLT Expectations
Hi everyone,I’m building out a production Medallion Architecture using Delta Live Tables (DLT), and I’m refining our strategy for handling data that fails Expectations.While expect_or_drop and expect_or_fail are straightforward, I’m struggling to fi...
- 531 Views
- 2 replies
- 3 kudos
Latest Reply
- 3 kudos
Hey @Khasim_1, this was an interesting one and I wanted to experiment a bit. I put this together if it helps - https://medium.com/lab-notes/three-lakeflow-quarantine-designs-tested-and-the-one-condition-every-queue-needs-1bea1c1588ff
- 3 kudos
- 61 Views
- 2 replies
- 0 kudos
DevOps Fundamentals: Lecture - DevOps Fundamentals: Repeated word
Section B. DevOps LifecycleRelease -> RELEASE the packaged application application ensuring it's ready for roll out
- 61 Views
- 2 replies
- 0 kudos
Latest Reply
- 0 kudos
Also:Section: F. DataOps = DevOps for Data EngineeringThe diagram introduces env mgmnt but never explains what it is.
- 0 kudos
- 154 Views
- 3 replies
- 1 kudos
Liquid clustering vs. partitioning for a 5 TB Silver table with frequent MERGEs
Hi all,We have a Silver Delta table (~5 TB, growing ~20 GB/day) that is updated every hour with a MERGE on order_id. Right now it's partitioned by order_date. Most MERGE batches touch the last 3 days, but late updates can reach orders up to 90 days o...
- 154 Views
- 3 replies
- 1 kudos
Latest Reply
- 1 kudos
Hi! Good candidate for liquid clustering, since the "hot 3 days plus a long tail of late updates" pattern is exactly where fixed date partitions start to hurt. A few thoughts on each question.MERGE performanceResults vary a lot by data distribution, ...
- 1 kudos
- 125 Views
- 2 replies
- 0 kudos
Declarative Pipeline Expectations - Quarantining Bad Records
Hi there,I'm trying to follow Expectation recommendations and advanced patterns | Quarantine invalid records, but this doesn't really make sense to me. Following the described pattern almost exactly in my case, I see that there are two TEMPORARY LIVE...
- 125 Views
- 2 replies
- 0 kudos
Latest Reply
- 0 kudos
Hi! The confusion here is understandable, because the docs example stops one step short of being useful on its own.Why the views show nothingTemporary views in a pipeline aren't materialized or published to Unity Catalog. They're logical building blo...
- 0 kudos
- 64 Views
- 1 replies
- 0 kudos
Implementing a "Zero-Bus" Architecture in a Lakehouse: Best Practices for Shared Dimensions?
Hi Everyone,I am currently architecting a Medallion Lakehouse and moving toward a "Zero-Bus" (Bus Architecture) approach. My goal is to ensure that our core dimensions—such as Customer, Product, and Geography—remain consistent and conformed across al...
- 64 Views
- 1 replies
- 0 kudos
Latest Reply
- 0 kudos
Great question. Here's what has worked for us.Conformation: We do entity resolution in Silver (a crosswalk mapping each source system's ID to one enterprise key, with survivorship rules), then publish conformed dimensions once as shared Gold tables t...
- 0 kudos
Announcements
| User | Count |
|---|---|
| 2293 | |
| 1454 | |
| 1253 | |
| 1187 | |
| 961 |
Latest from our Blog
Step-by-Step: Building a Vacation Rental Operations App with AppKit
Your team has analytics data in a SQL Warehouse. Leadership wants more than a dashboard — they want an app where ops reps can look up bookings, flag issues, add notes, and ask questions in plain Engli...
Multi-region model serving on Databricks with OpenSharing
Introduction Enterprises today serve customers across continents, from New York to Singapore, London to São Paulo. For these organizations, delivering fast, reliable user experiences is a business req...
Tutorial: Databricks Genie for Data Engineers and Data Scientists
Note: This blog post is a summary of a Databricks Genie step-by-step tutorial. The full tutorial and code are available for free on GitHub. Tutorial: Databricks Genie for Data Engineers and Data Scien...
Beyond the Dashboard: How Transferz Built a Truly Data-Driven Company Culture With AI/BI Genie
Transferz, a fast-growing travel tech platform, eliminated its data team bottleneck by deploying AI/BI Genie — achieving 89,5% adoption across business users achieving 60% operational improvements.Th...
