SQLYARD

From Novice to Confident Builder This guide is designed as a skill journey, not just a tutorial. Most SQL articles teach you a few queries and stop. Real data warehouses are built in layers, over time, with increasing discipline and maturity. This guide walks you through that exact path. You will start as a beginner, […]

A practical guide to data virtualization in SQL Server from novice to expert Introduction In 2025, a lot of organizations are still running SQL Server on-prem. Some by choice. Some by regulation. Some because moving 50 TB of data is not a weekend project. The good news is this. You do not need to move

SQL Server 2025 makes “AI next to the data” practical by adding native vector storage, vector indexing and search, and first class hooks to embedding endpoints like Azure OpenAI through CREATE EXTERNAL MODEL. This lets you build semantic search and Retrieval Augmented Generation (RAG) without standing up a separate vector database. [1] [2] Below is

Introduction SQL Server 2025 introduces one of the most forward-looking features in its history: the ability to call external REST and GraphQL endpoints directly from T-SQL using the new stored procedure: This fundamentally expands SQL Server from a relational engine into a hybrid data-integration platform capable of: • Calling REST and GraphQL APIs• Triggering Azure

Introduction Continuing SQL Server 2025’s expansion of native regular expression support, today we cover two functions that focus on location and frequency: • REGEXP_INSTR() – returns the starting or ending position of a matched substring• REGEXP_COUNT() – returns the number of times a pattern occurs in a string Together, these functions let you analyze text