Automated migrations to Unity Catalog
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Updated
Jul 28, 2025 - Python
Automated migrations to Unity Catalog
Open, Multi-modal Catalog for Data & AI, written in Rust
Notebooks, terraform, tools to enable setting up Unity Catalog
A production-ready PySpark project template with medallion architecture, Python packaging, unit tests, integration tests, CI/CD automation, Databricks Asset Bundles, and DQX data quality framework.
Unity Catalog Explorer is a TypeScript + Next.js based Web UI for the Unity Catalog OSS.
A cloud-native data pipeline and visualization project analyzing Formula 1 racing data using Azure, Databricks, Delta Lake, Tableau, and Python for insightful EDA and interactive dashboards.
How to Configure Azure Databricks Unity Catalog using Terraform
End-to-end backend and data hub architecture on Azure, integrating Databricks and a suite of Azure services for seamless data processing, analytics, and deployment.
This is a Web API to connect to your Lakehouse with Unity
spark, databricks, kafka, batch and stream-processing
A curated list of awesome Databricks resources, including tutorials, notebooks, libraries, and tools.
How to read and write to a database from a Databricks notebook using Unity Catalog permissions
topic-specific projects and end-to-end project
We explore Databricks AAD passthrough authentication and look at the best options for replicating this behavior in a Unity Catalog-enabled workspace.
Real Estate ELT pipeline using Databricks Asset Bundles on GCP. Ingests, transforms, and analyzes property data via Delta Live Tables. Follows medallion architecture (Bronze/Silver/Gold), modular Python design, CI/CD automation with GitHub Actions, and full Unit and Integration tests coverage.
Databricks provides a unified, open platform for all your data. It empowers data scientists, data engineers and data analysts with a simple collaborative environment to run interactive and scheduled data analysis workloads.
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