Locking down AI pipelines in Azure? A zero-trust, metadata-driven setup makes it secure, scalable and actually team-friendly.

SQL 固然强大，但当数据清洗任务变得复杂、频繁且涉及多源数据时，纯 SQL 方案的短板就逐渐暴露出来了。 大 SQL 与可视化 ETL 平台：优缺点大比拼 简单来说：SQL 更适合处理单一、短期的战术性任务，而可视化 ETL 平台则更适配需要长期维护的战略性数据链路。

Welcome to my SQL performance tuning and ETL job demo repository. This repo showcases real-world SQL Server optimization techniques and ETL workflows that I’ve used in large-scale FinTech and ...

Learn about the “state of the union” in 2025 of Microsoft new releases and capabilities for SQL Server, Azure SQL, SQL database in Fabric, Copilots, and more.

This project demonstrates an end-to-end ETL (Extract, Transform, Load) pipeline where I extract raw data from Kaggle, clean and transform it using Python, load it into a SQL Server database, and ...

Get started with new generative AI experiences on Azure SQL and SQL Server, including Azure SQL Database. Learn more.

SQL is not confined to the traditional relational database systems (RDBMS) and data warehousing solutions. SQL-on-Hadoop engines run on top of distributed file systems to help process big data and ...