Description
DABs: reference resources, you can use a lookup or a hardcoded ID, but you can just use resources.resource_type.resource_name notation. It is especially useful in development mode when your resources are prefixed with dev and username. #databricks #DataAISummit https://www.databricks.com/dataaisummit/session/dabs-do-pro-all-best-tips-and-tricks ✨ Explore Databricks AI insights and workflows—read more: https://databrickster.medium.com/ 🔔𝐃𝐨𝐧'𝐭 𝐟𝐨𝐫𝐠𝐞𝐭 𝐭𝐨 𝐬𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐦𝐲 𝐜𝐡𝐚𝐧𝐧𝐞𝐥 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐮𝐩𝐝𝐚𝐭𝐞𝐬. https://www.youtube.com/@hubert_dudek/?sub_confirmation=1 🔗 Support Me Here! ☕Buy me a coffee: https://ko-fi.com/hubertdudek 🔗 Stay Connected With Me. Medium: https://databrickster.medium.com/
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More from databricks MVP Hubert Dudek
EventsDatabricks News: CLI v 1.0.0, AI-tools, databricks Docker, DABs UI sync, mutators
The video demonstrates new Databricks features, including the GA release of CLI 1.0.0, UI sync for DABs, Python mutators for bundle extension, and new Docker image options for custom runtimes. It also covers serverless pipeline orchestration, enhanced autoscaling for Lakebase and apps, serverless interactive execution timeout, and auto-scoping for access tokens.
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Databricks introduces Lakeflow Designer for visual data preparation, though its generated code is messy; a workaround uses Genie to convert the visual workflow into clean PySpark/SQL notebooks. The UV package manager significantly speeds up package installations on Databricks serverless runtimes, and DABs templates allow for standardized, customizable Databricks Asset Bundles.