DataOps for Microsoft Data Platform technologies. https://aka.ms/dataops-repo
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Updated
Feb 25, 2026 - Shell
DataOps for Microsoft Data Platform technologies. https://aka.ms/dataops-repo
MLFLow Tracking Server based on Docker and AWS S3
Connect your Spark Databricks clusters Log4J output to the Application Insights Appender
Production-grade Databricks infrastructure templates for Azure. Deploy in 20 minutes with VNet injection, Unity Catalog, managed identity. Perfect for learning and prototyping. Free and open source.
AI-powered Databricks platform engineering — provision workspaces, configure Unity Catalog, manage identity & governance, and set up networking across Azure, AWS, and GCP, all through natural language with Claude.
Reference implementation of a Databricks-native document intelligence agent with cited answers.
Enterprise Databricks app factory using @databricks Genie Code Agent Mode — 90+ apps at Alpura. Presented at DATA+AI Summit 2026.
A script that will rotate Azure Databricks tokens utilizing Azure Key Vault
Manage project-level Claude Code configuration for custom model providers (Databricks, Bedrock, OpenRouter, LiteLLM, Cloudflare)
Connect to an Azure Databricks workspace without using a PAT within a Github pipeline
Azure Databricks Spark log aggregation hack/setup
Runnable data-engineering patterns, gotchas and utilities — SQL, Python/PySpark, shell and cloud. Each folder clones and runs in seconds, with captured output.
Databricks Asset Bundles teaching demo — UC schema + volume, 4-task ETL job (bronze/silver/gold), Lakeview dashboard, dev/staging/prod targets, Azure DevOps CI/CD talk-track. No workspace-specific values in source control.
DataOps for the Modern Data Warehouse on Microsoft Azure. https://aka.ms/mdw-dataops.
This repository includes all files that compose the design and unification of the databases AdventureWorks and WideWorldAdventure project.
A comprehensive collection of dotfiles, Zsh terminal configurations, and handy Bash scripts designed to supercharge your Windows Subsystem for Linux (WSL2) development environment.
Worked, deployable examples for Ubunye Engine — ingestion and ML on Databricks
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