AI/BI dashboards can now be managed through Terraform.Dashboard using serialized_dashboard attribute: data "databricks_sql_warehouse" "starter" { name = "Starter Warehouse" } resource "databricks_dashboard" "dashboard" { display_name = "...
Hello Everyone!!!I hope everyone knows about the exciting new launch from Databricks: LakeFlow. This innovative tool makes data engineering simpler and more efficient. Let’s understand what LakeFlow offers and how it can help data teams. Let’s unders...
Hi @nihalataskeen Thankyou and I have signed up in the waitlist. Any idea when can we might get access to this??
AI/BI dashboards:Improvements:The assistant can now help you edit chart axis titles and control the visibility of chart data labels.You can now assign multiple measures to pivot tables.Added more relative datetime options, such as Last 10 seconds and...
Does anyone know how to do DevOps CICD pipeline to deploy changes to a Databricks Catalog? I've added a couple tables in DEV and need to deploy in Prod. Could'nt find any info on this anywhere.
Thanks @Retired_mod , the links refer mostly deployments of workspace objects rather than changes in database objects, eg. a new schema, table, or new column added to a table etc. I'll keep looking...
Databricks, a unified data analytics platform, is widely recognized for its ability to process big data and run complex algorithms. When it comes to infrastructure as code, Terraform stands out as a tool that can manage Databricks resources efficient...
Hi @Ajay-Pandey , Thank you for sharing this comprehensive guide on managing Databricks resources with Terraform. The detailed explanation of the different authentication methods and examples is very helpful. I appreciate you taking the time to put t...
Hello Everyone, 3 type of reading mode into pyspark:1.Permissive Mode : its a default mode. if spark is not able to parse it due to dattype mismatch then make it as null without impacting other result, i.e only issue record are null others are fine.2...
Lakehouse Monitoring provides automated profiling and a dashboard that visualizes trends and anomalies over time. Track key metrics such as data volume, percent nulls, numerical distribution changes, and categorical distribution. For inference tables...
Reference the result of SQL tasks in Workflows and use it for control flow (If/else condition, For each task) or as a parameter of another task.Enable it today from your Previews page.
You can now view a materialized view/streaming table's refresh information and schedules from the Catalog Explorer page.
Thank you for sharing this valuable information with the community! @Ajay-Pandey This will surely help many users manage their data workflows more efficiently. We appreciate your contribution and encourage more insights like this.
Best practices for utilizing Databricks Asset Bundles effectively streamline your data and AI projects, ensuring they are robust, scalable, and maintainable. Here are some key practices to consider:1. Version Control: Always maintain a versioned hist...
Thank you for sharing these best practices. @Ajay-Pandey We appreciate your contribution to helping the community members streamline their projects effectively.
Dears,This idea is to bring the HTML editor to our markdown cells in notebook, this will help the developers add comments and note in fast and easy way.Thanks
We’re just a couple weeks removed from the biggest Data + AI Summit in history, where we introduced Databricks LakeFlow, a unified, intelligent solution for data engineering. While we are hard at work evolving DLT and Workflows into the new unified s...
Hi @Rishabh-Pandey Thank you for sharing this insightful update! We're thrilled to see your enthusiasm for the latest enhancements to the DLT development experience. Please keep sharing your experiences and insights with the community. Thanks,Rishab...
Added support for customizing scatter point size and opacity in AI/BI dashboards.Improved interactivity in displaying tooltips when hovering over pie, scatter, and heatmap charts with many data points.AI/BI dashboard widgets created by Databricks Ass...
Thank you for sharing the updates on fixes @Ajay-Pandey .
1) Accumulators: Accumulators are used to implement counters and sum in Spark applications.Accumulators allow you to aggregate values from tasks running on worker nodes back to the driver program. They provide a way for tasks to incrementally update ...
Thank you for sharing this @Yogic24 . I am sure it will help other community members.
You can now list existing AI/BI dashboards via API.Learn more
Thank you for sharing this , @Ajay-Pandey . We appreciate your contribution.
