This category contains all SQL related articles
A practical SQL Server & DBA error codes cheat sheet covering 100+ common errors, their meanings, causes, first troubleshooting checks, and solutions for DBAs, SQL developers and database professionals.
SQL Server & DBA Error Codes Cheat Sheet – 100+ Common Errors, Causes & Solutions Read Post »
Master 50+ important SQL Server differences with this practical cheat sheet covering queries, indexes, joins, backups, security, performance, Azure SQL and common interview questions.
SQL Server Differences Cheat Sheet: 50+ Important Differences for Interviews Read Post »
Explore the Vector data type in SQL Server 2025, including its syntax, examples, storage considerations, and role in building AI-powered vector search applications.
Vector Data Type in SQL Server 2025: Syntax, Examples & Vector Search Read Post »
Learn how to use essential SQL Server production troubleshooting tools to identify and resolve performance issues, blocking, deadlocks, waits, slow queries, and database problems efficiently.
SQL Server Production Troubleshooting Tools: Complete Guide Read Post »
A practical SQL Server production troubleshooting cheat sheet covering the essential commands, queries, DMVs, and tools for diagnosing performance and database issues quickly.
SQL Server Production Troubleshooting Cheat Sheet Read Post »
Learn how to troubleshoot 25 common SQL Server production issues with practical solutions for slow queries, blocking, deadlocks, high CPU, memory pressure, I/O bottlenecks, and database performance problems.
Top 25 SQL Server Production Troubleshooting Scenarios & Solutions Read Post »
Learn what’s new in SQL Server 2025 compared with SQL Server 2022. Explore AI and vector features, performance improvements, editions, hardware requirements, memory, disk space, operating systems, and the SSMS version required for SQL Server 2025.
Can an AI agent really troubleshoot a SQL Server performance problem? Explore how AI agents can analyze DMVs, execution plans, wait statistics, and queries, identify root causes, and recommend fixes while keeping humans in control of production changes.
Can an AI Agent Troubleshoot a SQL Server Performance Problem? Read Post »
GPT-6 Astra: The Complete Guide I’m writing this to explain what GPT-6 Astra means for jobs, careers, HR, and the
GPT-6 Astra: The Complete Guide to the Future of AI, Jobs, Careers & Professional Work Read Post »
SQL Server 2025 brings major AI capabilities to the SQL Server platform. Learn how it compares with SQL Server 2022, including vector data, embeddings, vector search, AI functions, external AI models, and practical AI use cases.
SQL Server 2025 vs SQL Server 2022: What’s New for AI? Read Post »
Explore how AI can help SQL Server database professionals with query optimization, performance monitoring, troubleshooting, automation, and everyday database administration.
AI in SQL Server: What Can AI Actually Do for Database Professionals? Read Post »
A practical T-SQL window functions cheat sheet with simple SQL Server examples. Learn ranking, running totals, comparisons, and other essential window function techniques.
T-SQL Window Functions Cheat Sheet: Simple Examples for SQL Server Read Post »
Understand the relationship between SQL Server compatibility levels and the Cardinality Estimator, including how they influence query optimization, performance, and upgrade decisions.
Compatibility Level vs. Cardinality Estimator in SQL Server: A Complete Guide Read Post »
If you’ve ever stared at a query that takes 30 seconds to run and thought “this should take half a
How Can an AI Optimize a Slow SQL Server Query? (With a Real Example) Read Post »
Temporal Tables and Change Data Capture both help track data changes in SQL Server, but they solve different problems. This guide compares how they work, their key differences, performance considerations, limitations, and real-world use cases to help you choose the right approach.
Temporal Tables vs Change Data Capture: Which One Should You Use? Read Post »
Unused indexes can consume storage and increase the cost of INSERT, UPDATE, and DELETE operations. But before dropping an index with zero usage, learn how to analyze usage statistics, workload patterns, server restarts, and potential risks to make a safer decision.
How to Find Unused Indexes in SQL Server and Why You Shouldn’t Drop Them Immediately Read Post »
How many tempdb data files should your SQL Server have? This guide explains how to choose the right number of files, why equal sizing matters, how allocation contention occurs, and the best practices for configuring tempdb for better performance.
SQL Server tempdb Configuration: How Many Data Files Do You Really Need? Read Post »
If a busy SQL Server instance has tempdb allocation contention, one of the first things to review is whether tempdb
SQL Server tempdb Performance: Why Multiple Equal-Sized Data Files Matter Read Post »
Here’s what separates a strong Database Analyst interview from a weak one: it’s rarely the SQL. Most candidates who make
DELETE, TRUNCATE, and DROP may all remove data, but they work very differently. Learn their differences in logging, transactions, identity values, triggers, locking, performance, and when to use each command in SQL Server.
SQL Server Interview Question: DELETE vs TRUNCATE vs DROP – What’s the Difference? Read Post »
Rebuilding indexes isn’t always the answer to slow SQL Server queries. Learn why accurate statistics can be critical for query optimization, how stale statistics affect execution plans, and when to update statistics versus rebuild or reorganize indexes.
SQL Server Statistics vs Index Rebuild: Which Matters More? Read Post »
