A delivery truck arrives at a downtown Seattle coffee shop carrying 8,000 gallons of oat milk. The regional manager is furious. The AI agent that manages supply chain decisions made the call autonomously at 08:14 AM on a rainy 45F morning. Nobody ord...
Our data team kept hitting the same problem. We needed UIs for business users, dashboards, CRUD apps, internal tools. Streamlit was our go to but it reruns the entire script on every interaction, the interfaces all look identical, and it gets painfu...
Hey everyone,I recently worked on building a modern financial data lakehouse using Spark Declarative Pipeline OSS (SDP OSS), Apache Iceberg, and AWS Glue Catalog.The blog covers:- Building declarative data pipelines with Spark- Using Apache Iceberg a...
really cool
Why Your Delta Lake Tables Are Quietly Ballooning (And How to Fix It)If your data pipeline only appends a few gigabytes a day, but your cloud storage footprint is skyrocketing into hundreds of gigabytes, you aren’t alone. We recently watched one of o...
Most Databricks deployment pipelines on Azure still authenticate with a service principal client secret. There is a better way and it does not require managing a single credential. The standard pattern has a quiet problemIf you have set up Databricks...
Hey everyone!I've built and open-sourced ar-io-mlfow. This is a plugin that adds cryptographic provenance across the ML lifecycle (training runs, model registration, stage promotions, inference, and datasets).What it doesCreates signed Ed25519 crypto...
I also opened a discussion on Github, not sure which is the right place sorry if this isn't it - https://github.com/mlflow/mlflow/discussions/23355
In today’s data-driven world, the role of a data engineer is critical in designing and maintaining the infrastructure that allows for the efficient collection, storage, and analysis of large volumes of data. Databricks certifications holds significan...
Hello , can u hep me with study material for associate level exam, where do we get it? the free version if possible? any noteS?
Hi everyone — wanted to share a three-part series I recently published on Medium that examines architectural patterns from a real Databricks-based data consolidation project.The specific case is a logistics platform unifying two legacy systems into a...
This article wraps up a technical deep dive into building large-scale Lakehouse architectures, revisiting design decisions from a 2019 platform that processed billions of payment records.In the original platform, streaming pipelines ran on Spark Stre...
For a long time, one of the hardest questions in lakehouse architecture was:How do we let external engines access governed data without bypassing governance?Databricks is making this pattern much cleaner with Unity Catalog external access.The idea is...
I came across a blog post comparing Databricks and Google BigQuery for AI-ready data teams. The workload angle stood out.That feels like a useful way to frame the discussion here in the Databricks Community. A lot of platform questions come back to t...
Evaluating pure analytics capabilities is an outdated framework that treats the data warehouse as an isolated silo. Databricks is aggressively moving to handle the entire enterprise footprint including BI & Agentic universe. With the maturity of Data...
One of the more frustrating things when working with materialized views in Databricks was checking whether a view had refreshed incrementally. One way to verify it was by checking the event log, but that required running the pipeline and executing a ...
Hi. This is very helpful. Any idea whether incremental refresh ability is also true for non-algebraic functions like median etc. I was looking for a solution which will work for late arriving data and came across this. I also could not find any docum...
If your CI/CD pipelines suddenly started failing out of nowhere with this error:"error downloading Terraform: unable to verify checksums signature: openpgp: key expired"and you’re using Databricks CLI - you’re probably hitting the same issue I did.Th...
Une nouvelle primitive de permissions pour empêcher le croisement de données entre usages hébergés sur le même workspace Databricks.
lien Medium :https://medium.com/@kacn12872/azure-databricks-exclusive-groups-garantir-létanchéité-entre-cas-d-usage-sur-la-lakehouse-e340ce28f332
Hi everyone, I'm continuing to build a live cost estimator for Databricks to get immediate cost estimates every second instead of having to wait for the system tables to update. (see Live Cost Estimator - Databricks Community - 156374)I've finished t...
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