Problems displaying this newsletter? View online.
SQL Server Central
Featured Contents
The Voice of the DBA
 

The Mindset of a Database Administrator: A Love Letter to Risk Aversion

Sometimes, while working on something as foundational as SQL Server Central, (which is a temporary responsibility for Grant, John and I while Steve is on sabbatical) I catch myself falling into an old, familiar loop double-checking my choices, second-guessing even the most minor decisions, as is the norm for anyone who’s a database administrator (or whatever the title is they’ve chosen to assign us this year). It’s like muscle memory: the twitch of caution, the internal monologue that asks, “What if I missed something?”

And the truth is, I probably didn’t, I rarely ever do, but that maybe is the quiet engine that drives every good database professional I’ve ever known.

Whether we’re called DBAs, data engineers, SREs, architects, or just “the database person,” we carry a shared mindset: risk aversion as a way of life. It’s not glamorous, it’s rarely celebrated, and in the age of "move fast and break things," it often feels like a personality flaw instead of the asset that it is.

But here’s the thing: data systems often don’t get do-overs. You may not be able to repair damage to data or databases.  I’ve worked on systems with extensive data corruption that happened over time. Our mindset was chosen because you don’t just “refresh the page” when a critical system goes down. And when you’re holding the keys to the gold and yes, customer data, financial records, system uptime is GOLD, being a little paranoid is part of the job description.

This perfectionism, this constant need to verify, to reflect, to anticipate disaster before it strikes, it’s not just anxiety (as we’re often the calmest during the chaos) it’s what keeps systems running. It’s what lets organizations trust their data and make decisions without fear.

Working on SQL Server Central reminded me just how deeply ingrained this mindset is. This system matters to my teammates, especially to that one guy on sabbatical. It’s his mission critical and even with years of experience, I still feel the weight of that responsibility. I don’t want to be the reason something breaks. I want to be the reason it never does.

And yet… our industry is shifting. “Data democratization” is the new rallying cry. Get the data into everyone’s hands. Make it self-service, fast, agile and make everyone empowered with as little friction as possible.

That’s awesome until someone overwrites the production dataset with test values because the “read-only” flag was missed in a template. Or an analytics team runs a 40-minute cartesian join that locks up the main database during peak business hours. Who is called when someone publishes code based on incorrect SQL that silently dropped 20% of rows due to a bad JOIN.

In the rush to democratize, we’ve started to treat caution like a bottleneck. But we need to rethink that.

The meticulous mindset of the database professional isn’t a blocker, but a safeguard. It’s the quiet force behind every five-nines uptime, every audited log trail, every reliable recovery. Without that mindset, data democratization becomes data chaos, which is what I’ve started to see as the new norm for many.  We don’t need to slow innovation, but we just need to honor the mindset that makes it sustainable.

So, here’s to the overthinkers, the checklist-makers, the perfectionists who wake up at 2 a.m. wondering if the archive job finished correctly. We’re not broken; we’re built for resilience, persistence and removal of human error whenever possible.

And in a world running faster every day, that mindset is more important than ever.

 

Peace out,

DBAkevlar

Join the debate, and respond to today's editorial on the forums

 
  Featured Contents
SQLServerCentral Article

Unmasking CXPACKET and CXCONSUMER in SQL Server: What Your Execution Plan Isn’t Telling You

Chandan Shukla from SQLServerCentral

This article dives deep into cxpacket and cxconsumer in sql server, explaining how to simulate each, when they appear, and why they matter. Using live execution plans, wait monitoring, and worker thread diagnostics, we uncover how uneven parallelism triggers thread sync waits—and how SQL Server sometimes hides real issues behind innocent-looking CXCONSUMER waits. Includes step-by-step queries, tuning tips, and a real-world scenario where repartition streams quietly ruined performance.

External Article

State Transition Constraints

Additional Articles from SimpleTalk

About two decades ago, I introduced the concept of transition constraints to show Data Validation in a database is a lot more complex than seeing if a string parameter really is an integer. In October of 2008, I did an article called Constraint Yourself! on how to use DDL constraints to assure data integrity. One of the topics in that piece was a look at state transition constraints via an auxiliary table.

Blog Post

From the SQL Server Central Blogs - Upgrading SQL Server in a Container

Steve Jones - SSC Editor from The Voice of the DBA

I decided to update software on my laptop recently during a trip. I’m loathe to do this on most trips, as I don’t want any instability before a presentation....

Blog Post

From the SQL Server Central Blogs - ColumnStore Indexes: The Secret to Fast SQL Queries

Rohit Garg from MSSQLFUN

Columnstore Indexes in SQL Server – A Practical Guide with Real-World Examples What Are Columnstore Indexes? Unlike traditional row-based indexes, Columnstore Indexes organize and store data by...

SQL Cookbook: Query Solutions and Techniques for All SQL Users

Steve Jones - SSC Editor from SQLServerCentral

You may know SQL basics, but are you taking advantage of its expressive power? This second edition applies a highly practical approach to Structured Query Language (SQL) so you can create and manipulate large stores of data. Based on real-world examples, this updated cookbook provides a framework to help you construct solutions and executable examples in several flavors of SQL, including Oracle, DB2, SQL Server, MySQL, and PostgreSQL.

 

 

 

 

  Yesterday's Question of the Day (by Steve Jones - SSC Editor)

Independence Day

The film independence day was released in 1996. Which of these queries returns that year is run today?

Answer: SELECT CAST (0x000007CC AS INT), SELECT YEAR(CAST(0x313939362D30372D3033 AS VARCHAR(20))), SELECT YEAR(DATEADD( YEAR, -29, GETDATE())), SELECT 10+46+2000-60

Explanation: These all work. Happy 4th of July!

Discuss this question and answer on the forums

 

 

 

Database Pros Who Need Your Help

Here's a few of the new posts today on the forums. To see more, visit the forums.


SQL Server 2016 - Development and T-SQL
Is Auto Update Statistics recommended in case of bulk insert - Hi, we are working on low latency OLTP system. About 100000 rows per second gets inserted into one table. for better performance when querying the data on real time basis or when one of the components or  entire system restarts, we thought to keep auto create and update statistics ON. Kindly give your inputs if […]
SQL Server 2019 - Administration
Batchmode execution in SQL 2019 - Is there a way to force a query to use Batchmode execution, my database is in 2019 compatibility mode. For some reason, my queries are not using batch mode even when its scanning through millions of rows. Is there a query hint or in anyway to force it to use Batch mode execution (SQL server […]
SQL Server 2019 - Development
how to move all SP from one db to another db? - Hi everyone I have two db - one is test and other is archive.  In the test db I have SP that begin with "WIP" and "z".  WIP means work in progress and z means retired.  I want to move all SP that begin with "WIP" or "z" from test db to archive db.  Is […]
is there a way to have a table sorted automatically? - Hi Everyone I have one table that has a unique requirement to be sorted in order for the table to have any value.  I remember the sort order now but in the future I may forget the order and have to spend time to figure out why the data doesn't look right in the table.  […]
Azure Data Factory
Connecting ADF to take information from sharepoint and from Confluence - Dears, Hope this message finds you well Using Azure Data Factory, Issue 1: I want to connect to Confluence to extract information from confluence pages into HTML format and place them into a folder in my landing zone (Azure datalake). Confluence Cloud REST API via ADF HTTP or REST Connector What do you think is […]
Don't want to connect to the high transactional on-premises SQL Server Database - Dears, Hope this message finds you well We have a on-premises transactional database which is heavily used for transactions. Issue : We are creating a chatbot which will query the database so that users can make questions in natural language and get replies in SQL. This is all done by the AI, But for that, […]
Integration Services
Need Help to implement the De Duplication - Dear All, Good Day. I have a requirement to implement de-duplication on customer data in our policy system before loading it into the target, ensuring data is clean. I initially suggested using SSIS Fuzzy Lookup, but the client is not satisfied with this approach. Could you please suggest alternative methods or tools to implement de-duplication […]
Anything that is NOT about SQL!
Need help in changing my displayname - How do I change my display name, in my edit profile there are only drop down options available. No option available to edit existing displayname. thanks inadvance.
Editorials
The Long Weekend - Comments posted to this topic are about the item The Long Weekend
Own Your Mistakes - Comments posted to this topic are about the item Own Your Mistakes
Filling Big Shoes - Comments posted to this topic are about the item Filling Big Shoes
Article Discussions by Author
Unmasking CXPACKET and CXCONSUMER in SQL Server: What Your Execution Plan Isn’t Telling You - Comments posted to this topic are about the item Unmasking CXPACKET and CXCONSUMER in SQL Server: What Your Execution Plan Isn’t Telling You
Automating SQL Server Inventory Collection with SQLInventory - Comments posted to this topic are about the item Automating SQL Server Inventory Collection with SQLInventory
Stairway to Snowflake Level 8 - Event Tables - Comments posted to this topic are about the item Stairway to Snowflake Level 8 - Event Tables
How to Work with RStudio and SQL Server - Comments posted to this topic are about the item How to Work with RStudio and SQL Server
 

 

RSS FeedTwitter

This email has been sent to newsletter@newslettercollector.com. To be removed from this list, please click here. If you have any problems leaving the list, please contact the webmaster@sqlservercentral.com. This newsletter was sent to you because you signed up at SQLServerCentral.com.
©2019 Redgate Software Ltd, Newnham House, Cambridge Business Park, Cambridge, CB4 0WZ, United Kingdom. All rights reserved.
webmaster@sqlservercentral.com

 

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -