In this article, I’ll walk you through transforming a basic PySpark notebook into a production-ready data pipeline with comprehensive quality checks using Great Expectations patterns in Microsoft Fabric and Databricks. We’ll start simple and progress...
It is finally possible to deploy dashboards using DABS and change the catalog and schema. It is solving the biggest problem with bringing the dashboard to production. New parameters for the dashboard resource were added: dataset_catalog and dataset...
@Hubert-Dudek - This was really a much-awaited feature. Eventually DAB must cover all developed assets which requires promotion to higher environment to cover the CICD seamlessly.
We've all been there. You need to loop through a list of tables, apply some transformation, handle a few edge cases, and maybe catch an error or two. In most data platforms, that means switching to Python or Scala—even if 90% of your logic is just SQ...
Correction: Preview is available on Databricks Runtime 16.3 and above.
As data platforms mature, the focus is no longer just scalability—it is about speed, simplicity, and cost efficiency. Engineering teams want to deliver insights faster without managing infrastructure, while organizations want predictable costs and st...
The latest update for the first week of 2026 is the addition of window functions in Metrics View. In enterprises, there are always measures like cumulative sales or rolling forecast, so it is really important that we can use window functions in busin...
@Hubert-Dudek - Thanks for sharing these bite-size updates as these get lost in many release-notes. Keep it up.
Assigning the result of a shell command directly to a Python variable. It is my most significant finding in magic commands and my favourite one so far. Read about 12 magic commands in my blogs: - https://www.sunnydata.ai/blog/databricks-hidden-magic-...
How Digital Payment Lending Platforms Can Collaborate with Banks Without Exposing Sensitive Data1. Business Context & Regulatory RealityIn 2020, large Indian fintech platforms faced a unique regulatory constraint: NBFC‑led digital platforms were not ...
%%capture magic command not only suppresses cell output but also assigns it to a variable. You can later print cell output just by using the standard print() function #databricksRead about 12 magic commands in my blogs:- https://www.sunnydata.ai/blog...
Last from "everywhere" improvements in Spark 4.1 / Runtime 18 is IDENTIFIER(). Lack of support for IDENTIFIER() in many places is a major pain, especially when creating things like Materialized Views or Dashboard Queries. Of course, we need to wait a...
Thanks for sharing @Hubert-Dudek !
Secret magic commands, there are a lot of them. Check my blogs to see which one can simplify your daily work. First one is %%writefile, which can be used to write a new file, for example, another notebook #databricks more magic commands:- https://dat...
I’ve seen many examples of AI that can help you code individual routines and such, mostly junior-level coding help. The goal of this POC is to give the AI a general PRD containing coding examples and have it generate a Databricks pipeline from such.R...
Runtime 18 / Spark 4.1 brings parameter markers everywhere #databricks Latest updates: read: https://databrickster.medium.com/databricks-news-week-1-29-december-2025-to-4-january-2025-432c6231d8b1 watch:https://www.youtube.com/watch?v=LLjoTkceKQI
Databricks has introduced a powerful feature—Metric Views—that transforms how organizations define, manage, and consume business metrics. Whether you're a data analyst, engineer, or business stakeholder, Metric Views offer a unified, governed, and re...
@BijuThottathil : I don't have a workaround for you, but wanted to let you know that you can vote here https://community.fabric.microsoft.com/t5/Fabric-Ideas/Enable-native-Power-BI-integration-with-Databricks-Metric-View/idi-p/4823684Hopefully, Micro...
Databricks Microsoft Fabric: Zero-Copy Integration with Delta SharingManaging data across different ecosystems usually means messy ETL pipelines and high storage costs. I implemented a Zero-Copy architecture to streamline this. By leveraging Delta S...
Runtime 18 / Spark 4.1 brings Literal string coalescing everywhere, thanks to what you can make your code more readable. Useful, for example, for table comments #databricks Latest updates: read: https://databrickster.medium.com/databricks-news-week-1...
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