Benjamin Nevarez

Benjamin Nevarez is a database professional based in Los Angeles, California. He has more than 15 years of experience with relational databases and has been working with SQL Server since version 6.5. Benjamin has been the technical editor of the two latest Kalen Delaney’s books including “SQL Server 2008 Internals”. He holds a Master’s Degree in Computer Science and has been a speaker at several technology conferences, including the PASS Community Summit. you can read Benjamin’s blog at www.benjaminnevarez.com.

All authors

SQLServerCentral Article

Inside the SQL Server Query Optimizer

This book will take you from the fundamentals of Statistics, Cost Estimation, Index Selection, and the Execution Engine, and guide you through the inner workings of the Query Optimization process, and throws in a pragmatic look at Parameterization and Hints along the way.

★ ★ ★ ★ ★ ★ ★ ★ ★ ★

(3)

You rated this post out of 5. Change rating

2017-02-06

27,275 reads

All authors

Blogs

Ramblings about data communities and your contributions, no excuses

By

I have been active in the data community throughout my career. I have met...

SQL Server Journey till 2025 (brief)

By

Quick Summary for Microsoft SQL Server till 2025, I am fortunate to be part...

Building Power BI Reports: Desktop vs Fabric

By

Why this comparison feels confusing If you’re a Power BI report author who’s just...

Read the latest Blogs

Forums

Multi-State Payroll Tax Issues 2026

By davidholland0703

Prepare for 2026 with this essential multi-state payroll tax issues 2026 webinar from Professionals...

Simulating Mercury’s Orbital Motion Using Pure T-SQL (NASA 2025 Dataset)

By NKTgLaw

SQL Server is typically viewed as a transactional or analytical database engine. However, it...

Azure SQL Database | CREATE EVENT SESSION [Blocking_Capture] ON DATABASE

By DanielP

Hello, Is there a way in Azure SQL Database to change the 'Blocking Process...

Visit the forum

Question of the Day

String Similarity I

On SQL Server 2025, when I run this, what is returned? 

SELECT EDIT_DISTANCE_SIMILARITY('SQL Server', 'MySQL')

See possible answers