systemd service to securely load ZFS encryption keys from Azure Key Vault
-
Updated
Nov 3, 2019 - Python
systemd service to securely load ZFS encryption keys from Azure Key Vault
A python application that leverages Microsoft Azure to build a fully functional trading system.
Simple terminal UI for Azure Key Vault access
Zero Trust Cryptographic Identity for AI Agents.
An AI-powered Data Quality & Reconciliation Agent built natively in Microsoft Fabric. Leverages PySpark, Azure OpenAI (GPT-4o), and Tool Calling to automate daily sales data validation.
Useful scripts in the deployment of Azure Linux VMs
This repository contains code for an end-to-end IoT data pipeline using Azure services. It ingests, processes, and stores IoT device data from AWS S3 to Azure Data Lake Storage and Azure SQL Database, leveraging Azure Data Factory and Azure Functions for seamless integration and automation.
This project encompasses end-to-end ETL and ML pipeline development. Data ingestion from TMDB API covered top-rated, current, upcoming, and popular movies with genres. Performed EDA to derive several valuable insights and observations. Developed a regression model with 97% r2 score to predict average movie ratings accurately.
Secure secrets manager
End-to-end Azure Data Engineering pipeline using Databricks, PySpark, and Azure Data Factory with Medallion Architecture, incremental processing, and Delta Lake MERGE.
Add a description, image, and links to the azure-key-vault topic page so that developers can more easily learn about it.
To associate your repository with the azure-key-vault topic, visit your repo's landing page and select "manage topics."