Does this support the ServiceNow V2 connector?

Yes, it provides full implementation templates and migration steps for ServiceNow V2, which replaces the now end-of-support V1 connector with enhanced OData performance.

Why is the Databricks Job activity preferred over the Notebook activity?

As of 2025, the Databricks Job activity is the only recommended method. it supports serverless execution by default, offers advanced workflow features like 'Run As' and task values, and provides better reliability and cost optimization.

How does this skill handle Windows file paths?

The skill enforces a mandatory requirement to use backslashes (\) for all file paths on Windows systems to ensure compatibility with Azure and local developer environments.

Does it require cluster configuration in the linked service?

No, for the 2025 Databricks Job activity pattern, cluster properties are omitted from the linked service. The compute is managed by the job configuration within the Databricks workspace.

Azure Data Factory & Databricks 2025

Name: Azure Data Factory & Databricks 2025
Author: JosiahSiegel

byJosiahSiegel

•

云基础设施

Standardizes Azure Data Factory orchestrations using 2025 best practices for Databricks jobs, serverless compute, and modern connectors.

关于

This skill equips Claude with the latest 2025 architectural patterns for Azure Data Factory (ADF) and Databricks integration. It focuses on migrating legacy notebook activities to the modern Databricks Job activity, leveraging serverless compute for lower costs, and implementing high-performance connectors like ServiceNow V2. It also enforces critical development standards such as Windows-compatible file pathing and clean repository documentation practices to ensure production-grade data engineering workflows.

主要功能

ServiceNow V2 connector implementation with OData and OAuth2 support
7 GitHub stars
Serverless-first configuration templates for Azure Databricks linked services
Enhanced PostgreSQL connector patterns for optimized data extraction
Enforced Windows backslash pathing for cross-platform file operation reliability
Migration logic for upgrading legacy Databricks Notebook activities to modern Databricks Job types

使用场景

Migrating deprecated ServiceNow V1 connectors to the high-performance V2 version
Setting up secure, serverless data pipelines using Managed Identity (MSI) authentication
Refactoring existing ADF pipelines to meet 2025 Microsoft and Databricks orchestration standards

关于

主要功能

ServiceNow V2 connector implementation with OData and OAuth2 support
7 GitHub stars
Serverless-first configuration templates for Azure Databricks linked services
Enhanced PostgreSQL connector patterns for optimized data extraction
Enforced Windows backslash pathing for cross-platform file operation reliability
Migration logic for upgrading legacy Databricks Notebook activities to modern Databricks Job types

使用场景

Migrating deprecated ServiceNow V1 connectors to the high-performance V2 version
Setting up secure, serverless data pipelines using Managed Identity (MSI) authentication
Refactoring existing ADF pipelines to meet 2025 Microsoft and Databricks orchestration standards