Stars
A reference .NET application implementing an eCommerce site
Security Analysis Tool (SAT) analyzes customer's Databricks account and workspace security configurations and provides recommendations that help them follow Databrick's security best practices. Whe…
The Security Reference Architecture (SRA) implements typical security features as Terraform Templates that are deployed by most high-security organizations, and enforces controls for the largest ri…
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
Data quality checking frame work for Pyspark in Databricks based on Great Expectations framework
Sharing the learning along the way we been gathering to enable Azure OpenAI at enterprise scale in a secure manner. GPT-RAG core is a Retrieval-Augmented Generation pattern running in Azure, using …
The Lakehouse Engine is a configuration driven Spark framework, written in Python, serving as a scalable and distributed engine for several lakehouse algorithms, data flows and utilities for Data P…
Examples of using Terraform to deploy Databricks resources
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
This project provides open source Education Analytics solutions built on Azure.
Code examples for chapter 2 of Bootstrapping Microservices (2nd edition)
Spark data pipeline that processes movie ratings data.
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
Version 1 of Technical Best Practices of Azure Databricks based on real world Customer and Technical SME inputs
This repository is to hold small sample code snippets for DataOps section of SolutionOps playbook. It would also hold the IaC scripts for Data Mesh hack created by DTD team.
Stand up an Azure sandbox environment for accelerating your projects in an hour.
A guidance language for controlling large language models.
Data Quality and Observability platform for the whole data lifecycle, from profiling new data sources to full automation with Data Observability. Configure data quality checks from the UI or in YAM…
Delivering modern cloud-native applications with open source technologies on Azure Kubernetes Service
We present a sample code that showcases observable use Azure Functions. We provide: Python code using OpenCensus, code to deploy the sample infrastructure and code to publish the Azure Function App
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and mo…
Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
Official Flask Blog tutorial from documentation completely rewritten with Hexagonal Architecture
OpenTelemetry Demo with Azure Databricks and Azure Monitor