Asset Bundles
Recent items mentioning Asset Bundles across the Databricks ecosystem — releases, news, videos, and community Q&A. Updated hourly.
Databricks Asset Bundles now default to a new direct deployment mode instead of Terraform, with automatic state migration handling existing bundles 2. Practitioners are pushing DABs into new territory — deploying Genie Spaces agents 6 and metric views 8 — while new controls like immutable_folder 4 and a watch flag 5 give tighter control over deployments. At the same time, teams are formalizing bundle strategy at scale, from a monorepo vs. multi-repo decision framework 3 to tying cluster policies directly into bundle definitions 7.
Generated daily from the 8 most recent items mentioning Asset Bundles. Click any [N] to jump to the source.
Visual, step-by-step curriculum for mastering DABs and Infrastructure as Code
NewsDatabricks News: ZeroOps, DABs, Indexes, Genie, sandboxes, migration from PowerBI, secrets
Zero Ops automatically detects errors in jobs and data quality with lineage analysis and proposes code fixes, while DABs now default to direct mode instead of Terraform with automatic state migration. Full-text search indexes deliver 400x faster queries on billion-row tables, Genie automatically converts PowerBI dashboards to Databricks metric views, and Unity Catalog secrets support granular read and reference-only permissions.
Monorepo vs Multi-repo for Databricks Asset Bundles: A Decision Framework
DABs: immutable_folder
Genie Spaces (Agents) in DABs
can i deploy a metric view using DABs
NewsDatabricks News: RT Lakehouse (Reyden), Lakebase, TTL
This video highlights recent Databricks updates, including the beta release of the high-performance "Raiden" real-time lakehouse engine and new lakeflow connectors. It also demonstrates administrative changes to user groups, new time data types, predictive optimization TTL deletes, user home volumes, and advanced search capabilities in Lakebase.
How to Deploy Lakehouse Federation Using DABs from the Dev Environment to the Stage Environment
Databricks News: CLI v1.0.0, AI-tools, Docker, DABs UI sync, mutators
Databricks News: CLI v1.0.0, AI-tools, Docker, DABs UI sync, mutators
Tutorials135: Declarative Automation Bundles (Formerly Databricks Asset Bundles)| Part 2 | Sample Project
News134: Declarative Automation Bundles (Formerly Databricks Asset Bundles)|Part 1|Complete Introduction
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.
Databricks Asset Bundles now features a select flag for plan and deploy commands to target specific resources alongside their transitive dependencies. The experimental open command now supports all bundle resource types with workspace URLs
Bring Databricks into Kiro IDE with the AI Dev Kit Power
The Databricks AI Dev Kit Power now offers a one-click setup to integrate Kiro IDE with the full Databricks platform, providing AI-assisted development grounded in your workspace's Unity Catalog metadata. This new path, alongside a lighter PAT-based option, ensures your AI assistant writes SQL with actual columns and respects all row, column, and tag-based grants.
Databricks Asset Bundles now support a DeploymentMode field for both Deployment and Version objects. Workspace settings include new fields for CollaborationPlatformConnectivity and EffectiveCollaborationPlatformConnectivity.
Databricks Asset Bundles deployment and version objects in the SDK now include a deployment mode field. The settings service added new fields to track collaboration platform connectivity and its effective status.
This release introduces a new bundle package and workspace-level service for managing Databricks Asset Bundles. It also adds an MtlsConfig field to ml.AuthConfig for mTLS authentication configurations.
EventsDatabricks News: Lakeflow Designer, UV package manager, DABs templates, Genie scheduled tasks
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.
This release introduces a breaking change that renames the min_qps configuration and CLI flag to target_qps for vector search endpoints, and it stops applying bundle name prefixes to these endpoints. Additionally, it improves the interactive authentication profile pickers, enhances OS keyring token storage behavior, and fixes bundle bugs related to nested notebook directory generation and multi-profile authentication propagation.
Release: v2.10.7 (#1895)
Remote Development mode is now available in the extension for VS Code remote setups. Databricks Asset Bundles has been renamed to Declarative Automation Bundles and profile authentication issues have been fixed.
NewsDatabricks News: watermark-based incremental ingestion, MCP in AI gateway, Genie, Vector Search
Databricks now offers watermark-based incremental ingestion from SQL databases without change data feed, allowing for efficient data updates and soft deletion handling. The AI Gateway supports custom MCP servers, enabling integration with external APIs like GitHub for enhanced AI application development.
CommunityFrom Notebook to Production: MLOps Quickstart
The video demonstrates how to apply MLOps best practices on Databricks using a quickstart repository, covering data ingestion, feature preprocessing, model training, deployment, and inference. It showcases Databricks tools like MLflow and Unity Catalog for managing the ML lifecycle, including version control, experiment tracking, model governance, and automated deployment across development and production environments.
NewsDatabricks News: AUTO CDC, Workspace skills, Ask Genie, and Type widening
Databricks introduces Auto CDC for efficient change data feed processing, notebook and govern tags for better organization, and workspace skills for Ask Genie to customize its responses. Databricks also adds type widening for streaming tables, allowing data types to automatically adjust to larger incoming values.
NewsDatabricks News: Excel add-in, Metrics Views UI, and Quality Monitoring
Databricks announced Lake Watch for cybersecurity, new dynamic dropdown filters in SQL editor, and improved quality monitoring with null value scanning and automated alerts. The video also demonstrates a new UI for defining metric views, an Excel add-in for data preview and import, and the ability to publish dashboards as public web pages.
NewsDatabricks News: Free Tier, Multi-statement transactions, Declarative Automation Bundles, Genie Code
Databricks now offers a free tier for Lakeflow Connect, providing 100 DBUs per day per workspace, and has introduced multi-statement transactions in Unity Catalog that ensure atomicity with rollback capabilities. The platform also announced a Databricks One mobile app, a new AI runtime with pre-installed tools for GPU use cases, and enhanced Genie Code that understands project structure for automated development tasks. Additionally, Databricks Asset Bundles are now called Declarative Automation Bundles and use a faster direct engine, and a new 5X-Large SQL warehouse is available for processing terabytes of data.
NewsDatabricks News: unit testing, OneLake federation, scoped access tokens
Databricks now allows creating Unity Catalog domains for business users, running JAR tasks on serverless compute, and federating OneLake data directly into Databricks. The platform also introduces in-workspace Python unit testing, new data connectors like HubSpot and TikTok Ads, and scoped personal access tokens for enhanced security.
NewsDatabricks News: Catalog and External locations in DABS, Schema Evolution, File Events, Queries Tags
Databricks Runtime 18.1 introduces schema evolution for inserts, managed file events for Autoloader, and a simplified `TABLE` syntax for querying. The video also demonstrates new features like the AI Gateway for LLM governance, query tags for tracking, and the GA release of the supervisor agent.
NewsDatabricks Breaking News: 2026 Week 6: 2 February 2026 to 8 February 2026
Databricks introduces agentic data quality monitoring with anomaly detection, LLM judge UI builder for MLflow, and new SQL warehouse features including a default option and activity details. The platform also enhances its assistant to connect with MCP servers, improves Google Sheets integration with pivot table functionality, and adds direct Git deployment and tagging for Databricks apps.
NewsDatabricks Breaking News: 2026 Week 5: 26 January 2026 to 1 February 2026
Databricks now allows triggering materialized views or streaming tables on update, automatically detecting source changes and refreshing the pipeline. MLflow traces can now be stored in Unity Catalog using OpenTelemetry, providing a centralized logging system for experiment data.
NewsDatabricks Breaking News: 2026 Week 4: 19 January 2026 to 25 January 2026
Databricks introduces temporary tables that are Unity Catalog managed, materialized, and allow DML operations, automatically cleaning up after a session or seven days. Materialized views now support refresh policies like incremental strict, which verifies if a view can be incrementally refreshed before deployment.
NewsDatabricks Breaking News: 2026 Week 3: 12 January 2026 to 18 January 2026
Databricks Runtime 18 is now Generally Available, offering Spark 4.1 and improved identifier/parameter maker availability. New features include Lakeflow Connect for row filtering during ingestion, Codex models (GBT Codex Max and Mini) for code development, and Databricks One improvements like favorites and data preview in Gen Rooms.
NewsDatabricks Breaking News: Week 2026 02: 5 January 2026 to 11 January 2026 #databricks news
Databricks now allows changing catalog and schema during dashboard deployments, addressing a previous issue with environment-specific configurations. The Databricks CLI has a breaking change with plan version 2, altering the structure of deployment plans.
NewsDatabricks Breaking News: Week 2026 01: 29 December 2025 to 4 January 2026 #databricks news
Databricks now supports deploying asset bundles from a generated plan, enabling CI/CD integration for review and approval. Unity Catalog introduces new secret grants, and Runtime 18 brings "everywhere" implementations for literal string colling, parameter markers, and identifiers, along with window functions in metrics view and general availability for SQL scripting.
ReleasesDatabricks Breaking News: Week 52: 22 December 2025 to 28 December 2025 #databricks news
Databricks introduces a direct mode for asset bundles, offering faster deployments without Terraform, and the Databricks Assistant agent mode is now in public preview, capable of multi-step notebook editing and data analysis. Other updates include single-use refresh tokens for enhanced security, partition columns now included in Parquet files for improved compatibility, and new dashboard features like custom labels, flexible sorting, and Microsoft Teams integration for scheduled reports.
NewsDatabricks Breaking News: Week 51: 15 December 2025 to 21 December 2025 #databricks news
Databricks introduces new Lakeflow Connect features, including custom logic for declarative pipelines and new connectors for incremental data import from sources like Confluence, PostgreSQL, and MySQL. The platform also announces the deprecation of legacy features like Hive Metastore and DBFS for new accounts, alongside updates to Lakehouse ACLs, job scheduling from notebooks, flexible node types for cluster deployment, and expanded resource assignment in Databricks apps.
NewsDatabricks Breaking News: Week 50: 8 December 2025 to 14 December 2025 #databricks news
Databricks now supports native reading and writing of Excel files in PySpark, SQL, and Autoloader, including features like sheet listing and range targeting. Additionally, Databricks Runtime 18 is available in beta, introducing improvements for streaming queries and new system columns for job tables, alongside a new Legase experience with project and branching capabilities for transactional databases.
NewsDatabricks: What’s new in October 2025 #databricks news
Databricks introduces Databricks One, a new business-focused experience with consumer access for dashboards and Genie, alongside updates to Genie for defining relations and extended API endpoints. The platform also adds features like easy conversion of external to managed tables, enhanced Databricks Asset Bundles with policy integration and script execution, and new system tables for MLflow tracking and data classification results.
NewsDatabricks: What’s new in September 2025? #databricks
Databricks now supports geospatial data types (geography and geometry) with new functions for visualization and spatial operations, and introduces serverless GPU clusters for distributed GPU code execution. The platform also offers enhanced notebook features like side-by-side editing and a notebook-specific search, along with new options for managing serverless environments, SQL warehouses, and access requests in Unity Catalog.
Tutorials51 Setup Azure DevOps Pipeline with Databricks Asset Bundles (DABs) | Complete CICD Process
The video demonstrates how to set up an Azure DevOps pipeline to deploy Databricks Asset Bundles (DABs) to higher environments like QA. It covers configuring service principal permissions, setting up Azure pipeline variables for environment-specific details, and writing the YAML pipeline code to validate and deploy Databricks assets.
Tutorials50 Databricks Asset Bundles | Configure Production grade DABs | CICD using DABs (IAC)
The video demonstrates how to configure and deploy Databricks Asset Bundles (DABs) for managing Databricks assets like notebooks, jobs, and pipelines across different environments. It covers creating a structured DAB project, defining resources and targets in YAML, and deploying using both the Databricks UI and CLI, including setting up environment-specific configurations and variables.
NewsDatabricks: What’s new in July 2025? Updates & Features Explained! #databricks
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