Integration Standards Library — 6-module engagement accelerator for data platform standards (naming, classification, API governance, data quality, metadata/lineage, integration patterns) with browser-based implementation tool, industry profiles, and platform adapters for Microsoft Fabric, Purview, and APIM

Internal‑only SQL assessment platform for enterprises to evaluate employee proficiency using their real, proprietary product datamodel—without exposing schemas or datasets to external vendors.

公众号：「数据之道」

Power BI & Microsoft Fabric blog — architecture patterns, PBIR/TMDL insights, and governance at enterprise scale

The website is now described as an educational resource for data management, with the objective of educating, engaging, guiding, and providing resources.

Data Trust Engineering (DTE) is a vendor-neutral, engineering-first approach to building trusted, Data, Analytics and AI-ready data systems. This repo hosts the Manifesto, Patterns, and the Trust Dashboard MVP.

End-to-end water data platform built with PySpark, a Medallion Lakehouse, and DataOps principles (CI/CD, Testing). A local-first, containerised data platform (Docker). A governed Medallion Lakehouse with (Data Quality), and DataHub (Governance). Features Medallion architecture, automated data quality, and CI/CD.

Structured notes on AI, data governance, and digital infrastructure.

📊 Define, validate, and visualize semantic metrics effortlessly with this MCP agent, enhancing data team efficiency and integration capabilities.

Zied Nanaa | Senior Cloud & Data Architect | Microsoft Fabric | Data Governance

Develop the expertise to architect modern data ecosystems. Learn advanced database design, data modeling, cloud integration, and governance to deliver secure, efficient, and scalable enterprise data solutions.

Agentic data intelligence tool using LangChain & Pandas for automated dataset cleaning, governance, and quality analysis.

This project presents a proposal to develop a multi-stakeholder COVID-19 patient registry, led by our hospital in collaboration with MGUH, Sibley, and GW hospitals.

Comprehensive data governance pipeline for SSH honeypot logs—covering data profiling, cleansing, quality assurance, encryption, classification, and GDPR/CCPA/HIPAA compliance. Built with Pandas, Pandera, YData Profiling, and cryptography, with simulated Caesar cipher attacks to demonstrate practical data-security techniques.

Metrics Observability & Troubleshooting

The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.