1. The "quarantine" pattern is mandatory: In many modern data organizations, engineers favor the "ELT" approach. They dump ...

Discover the leading workflow automation tools for enterprises in 2026, empowering businesses to enhance efficiency, streamline operations, and embrace digital transformation with AI-enabled solutions ...

In addition to delivering quality releases and consistent functionality across these tools and experiences that enable you to efficiently manage and develop with Microsoft SQL Server, we are aiming ...

Design and implement an end-to-end ETL (Extract, Transform, Load) pipeline using SQL for data extraction and transformation, and Python for orchestration and automation. Use any open dataset (e.g., ...

Welcome to the Data Warehouse and Analytics Project repository! 🚀 This project demonstrates a comprehensive data warehousing and analytics solution, from building a data warehouse to generating ...

With the official release of Microsoft's latest database offering, let's see what was improved and what still needs some work. Today, at Ignite, Microsoft announced the general availability of SQL ...

Managing SQL Server across hybrid and multi-cloud environments has long posed a challenge for database administrators. With data sprawled across on-premises infrastructure, cloud platforms, and edge ...

The first release candidate (RC0) of SQL Server 2025 is now available. As we move toward general availability, our focus shifts to delivering enhanced stability, performance, and product improvements ...

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...