u/hubert-dudek

DABs: mutators are a good place for central rules. Yaml defines what the project needs, but the mutator defines what the platform needs:

- Global jjobs parameters

- standard tags, like env, owner, domain, and cost_center.

- default email notifications.

- Check compute settings, for example, serverless rules.

- validators in CI/CD

#databricks #DataAISummit

https://www.databricks.com/dataaisummit/session/dabs-do-pro-all-best-tips-and-tricks

None of the new features matters if your platform goes down when a region or cloud has an outage. Cross-region and cross-cloud recovery is non-negotiable. This is key for any platform hosting applications, as it enables the components mentioned above to be 100% available.

https://databrickster.medium.com/my-favorite-announcements-from-the-data-ai-summit-2026-317fc68d4e75

https://www.sunnydata.ai/blog/data-ai-summit-2026-announcements

As the Lakehouse becomes your primary data and application platform and everything is consolidated there, you will occasionally need to push that data outwards. For example, to run a marketing campaign in Google Ads. #databricks #DataAISummit

https://databrickster.medium.com/my-favorite-announcements-from-the-data-ai-summit-2026-317fc68d4e75

https://www.sunnydata.ai/blog/data-ai-summit-2026-announcements

Not off the charts like in AI platforms, but in BI, Databricks is included for the first time and already is second in visionaries #databricks

Once you have that single platform holding all your company data, you need a knowledge graph, ideally created automatically, to build a context layer on top of it. Genie Ontology. #databricks #DataAISummit

https://databrickster.medium.com/my-favorite-announcements-from-the-data-ai-summit-2026-317fc68d4e75

https://www.sunnydata.ai/blog/data-ai-summit-2026-announcements

DABs: version protection: you’re running Databricks CLI v1.3, your coworker is on v1.2, and your CI/CD runner has v1.1 installed. Sound familiar?. #databricks

https://www.databricks.com/dataaisummit/session/dabs-do-pro-all-best-tips-and-tricks

Once your apps are hosted in Databricks, you need one more element...

Customer data lake

If you need to run campaigns and maintain master records, a customer data lake becomes essential as it allows you to build your own solution (the premise: SaaS is dead) with all the tools to support it #databricks #DataAISummit

https://databrickster.medium.com/my-favorite-announcements-from-the-data-ai-summit-2026-317fc68d4e75

https://www.sunnydata.ai/blog/data-ai-summit-2026-announcements

With new scaling and micro apps, you can now build customer-facing applications. Thanks to App Builder, comparable to Lovable, even complex customer-facing applications are achievable. #databricks #DataAISummit

https://databrickster.medium.com/my-favorite-announcements-from-the-data-ai-summit-2026-317fc68d4e75

https://www.sunnydata.ai/blog/data-ai-summit-2026-announcements

Not only is code CI/CD possible, but runtime CI/CD is now possible thanks to #databricks docker.

more about it:

https://databrickster.medium.com/databricks-docker-from-runtime-ci-cd-to-compliance-1479cf6cdf8d

https://www.sunnydata.ai/blog/databricks-custom-container-runtimes

more about it:

https://databrickster.medium.com/databricks-docker-from-runtime-ci-cd-to-compliance-1479cf6cdf8d

https://www.sunnydata.ai/blog/databricks-custom-container-runtimes

DABs: Branch protection will not allow you to deploy your code from an incorrect branch. Only the main branch can go to prod. #databricks

https://www.databricks.com/dataaisummit/session/dabs-do-pro-all-best-tips-and-tricks

Fast reads and fast writes, thanks to Lakebase, including writes to open formats. It creates a unified platform both for analytics and operational use cases. #databricks #DataAISummit

https://databrickster.medium.com/my-favorite-announcements-from-the-data-ai-summit-2026-317fc68d4e75

https://www.sunnydata.ai/blog/data-ai-summit-2026-announcements

RT Lakehouse: Seven milliseconds to read from cloud storage; it was an impressive demo. I think it will leave the competition speechless, though, for now that capability is limited to select customers in private preview. What it signals is a clear objective: to deliver ultra-fast reads so that open formats can be used to serve end users directly through an application. It is an important step toward building a hybrid database. #databricks #DataAISummit

DABs: New direct engine and v 1.*.*. More bundle functionality with less Terraform overhead and with a human-readable state. #databricks

https://www.databricks.com/dataaisummit/session/dabs-do-pro-all-best-tips-and-tricks

All updates in comments.

Managed Tables, External Tables, Foreign Tables and...

.. Catalog Managed Tables. If you are databricks user, you need to know why they are the best of all!

https://databrickster.medium.com/catalog-commits-make-your-managed-delta-layer-safer-and-more-performant-d2d19ee8b795

https://www.sunnydata.ai/blog/unity-catalog-catalog-commits-databricks

If you don’t know which permissions (scopes) to add to the access token (since some processes can require many scopes), just set access tokens to auto-scoping, and after 30 days, it will set the required scope based on usage during the first 30 days. #databricks

https://databrickster.medium.com/databricks-news-cli-v-1-0-0-ai-tools-last-updated-25th-may-767ef39abe8a

If you deploy a bundle from the UI in development mode (source-linked deployment) and edit it in the UI, changes are now propagated to the files. Really useful for jobs and dashboards. For jobs, of course, please always review in GIT as results in some complicated bundles (including my favorite mutators) cannot be guaranteed.

https://databrickster.medium.com/databricks-news-cli-v-1-0-0-ai-tools-last-updated-25th-may-767ef39abe8a

Catalog Commits are here, and they are bringing to databricks and UC:

- concurrency control, because Unity Catalog coordinates the winning commit

- governance, because supported clients resolve table state through Unity Catalog

- lays the foundation for stronger read performance, because some commit metadata can be served from Unity Catalog

- new functionality like multi-statement, multi-table transactions

- making Unity Catalog the source of truth for the latest Delta table state

https://medium.com/@databrickster/catalog-commits-make-your-managed-delta-layer-safer-and-more-performant-d2d19ee8b795

https://www.sunnydata.ai/blog/unity-catalog-catalog-commits-databricks

Lakebase can scale up more, and Apps are now getting horizontal scaling. Seems like #databricks is the best place to run your app now, any app.

https://databrickster.medium.com/databricks-news-cli-v-1-0-0-ai-tools-last-updated-25th-may-767ef39abe8a