Data + AI Summit 2026: the announcements that matter
A recap of Databricks Data + AI Summit 2026 in San Francisco, focused on what is relevant if you run data engineering and AI/BI on Azure Databricks.
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Practical insights on Azure Databricks: data engineering, Unity Catalog, AI/BI and Genie.
Bicep deploys the workspace, but nothing inside it speaks ARM. Why you need Terraform, and where Databricks Asset Bundles actually fit.
A recap of Databricks Data + AI Summit 2026 in San Francisco, focused on what is relevant if you run data engineering and AI/BI on Azure Databricks.
A fair, up-to-date comparison of the two leading ways to transform data on Databricks: what each does well, where each falls short, and how to choose.
How a medallion architecture with Delta Lake and Lakeflow Declarative Pipelines gives you data you can build on.
Why you shouldn't postpone governance, and how Unity Catalog brings access, lineage and quality into one place.
Natural-language analytics sounds magical, but it lives or dies by the semantic model underneath. Here's how to lay that foundation.
A side project from 2021: scraping 4000+ Thuisbezorgd pages with Selenium, converting HTML to JSON Lines and answering three sushi questions in Power BI.