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 »
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Explore TempDB in Azure SQL, its impact on query performance, key differences from on-premises SQL Server, and practical ways to monitor and manage it.
TempDB in Azure SQL: Performance, Differences & Management Guide Read Post »
You got the interview. Now your resume has done its job. But here’s where the real competition begins. You may
10 Things to Do in a Job Interview to Get Hired (Proven Interview Tips & Why They Work) 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 »
Career growth is rarely blocked by a lack of talent alone. Sometimes, you have the skills but nobody notices them.
You spent 4 hours writing your resume. A recruiter may spend only a few seconds deciding whether to keep reading.
How Recruiters Read Your Resume: What HR Really Looks For Before Calling You Read Post »
Want a remote job but don’t know where to start? You update your resume. You apply to 10, 20, sometimes
How to Crack a Remote Job in 90 Days: The Complete Step-by-Step Strategy for 2026 Read Post »
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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 »
When a Power BI report is slow, don’t immediately start rewriting your DAX. First use Performance Analyzer to identify which
Power BI Performance Tip: Find the Slow Visual Before Optimizing DAX Read Post »
When optimizing a Power BI Import model, don’t load columns just because they exist in the source. Microsoft recommends designing
Power BI Performance Tip: Reduce Model Size by Removing Unnecessary Columns 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 »
One of the biggest reasons Power BI reports become slow isn’t poor DAX. It’s choosing the wrong storage mode. Here’s
Power BI Import vs DirectQuery vs Direct Lake: Which Storage Mode Should You Choose? Read Post »
There’s a specific kind of dread that shows up about two hours into a migration cutover window, when someone asks
The Database Migration Checklist Nobody Follows Read Post »
Your resume is only one piece of the job search. Yet many job seekers use AI like this: “ChatGPT, rewrite
Here’s what separates a strong Database Analyst interview from a weak one: it’s rarely the SQL. Most candidates who make
The Perfect Mix of Technology & Knowledge
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