Dear Past Me on My First Day as a DBA
A letter to a past self from Pamela Mooney that might help a more junior DBA get up to speed quicker.
The New Normal Annoyances
Steve talks a bit about the new challenges of working in a different environment and the challenges you might face.
Data Masker with SQL Data Catalog Integration Automates Data Protection Process
Data Masker for SQL Server now integrates with SQL Data Catalog (seamlessly with our new GUI) to let you fully automate your data privacy and protection process, from data classification through to masking.
Explaining SQL Server Statistics with Playing Cards
When you run a query, how does SQL Server estimate the number of rows? I’ll explain in this half-hour video demo using playing cards, then showing the same issues in SQL Server Management Studio.
Compatibility Level Confidence
The database compatibility level ought to provide some protection from database upgrade changes, but do you believe that?
Understanding SQL Server Recovery Models
The database recovery model controls how a SQL Server database can be backed up and restored. In this article, Greg Larsen explains the three recovery models and what to think about when choosing a recovery model for a database.
Why you should embed monitoring earlier in your Database DevOps cycle
With insights from a recent Gartner report, Redgate’s Jamie Wallis looks at the benefits of tracking, and acting on, key metrics early in the DevOps process and how they can apply equally to database monitoring.
Coping with a working life as an imposter
It is not existing knowledge but the skill of acquiring new knowledge rapidly that will help you overcome imposter syndrome.
SQL Server on Amazon RDS vs SQL Server on Amazon EC2
Exploring briefly the difference between using Amazon Machine Images running SQL Server and using SQL Server instances on Amazon's Relational Database Service.
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By Steve Jones
Fear is fueled by a lack of imagination. The antidote to fear is not...
Cloud Data Driven User Group 2025 – Slides & Scripts
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Leading Through Change: Guiding Teams in Times of Uncertainty
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Change is not a disruption in technology; it is the rhythm. New frameworks appear,...
Forums
Replication from IBMi DB2 to MS SQL
We have a tool called DB Moto that reads journals (like t-logs) and replicates...
Don't Forget About Financial Skills
Comments posted to this topic are about the item Don't Forget About Financial Skills
Building a Simple SQL/AI Environment
Comments posted to this topic are about the item Building a Simple SQL/AI Environment
Question of the Day
Checking Identities
The DBCC CHECKIDENT command is used when working with identity values. I have a table with 10 rows in it that looks like this:
TravelLogID CityID StartDate EndDate 1 1 2025-01-11 2025-01-16 2 2 2025-01-11 2025-01-16 3 3 2025-01-11 2025-01-16 4 4 2025-01-11 2025-01-16 5 5 2025-01-11 2025-01-16 6 6 2025-01-11 2025-01-16 7 7 2025-01-11 2025-01-16 8 8 2025-01-11 2025-01-16 9 9 2025-01-11 2025-01-16 10 10 2025-01-11 2025-01-16The docs for DBCC CHECKIDENT say this if I run with only the table parameter: "If the current identity value for a table is less than the maximum identity value stored in the identity column, it is reset using the maximum value in the identity column. " I run this code:
DELETE dbo.TravelLog WHERE TravelLogID >= 9
GO
DBCC CHECKIDENT(TravelLog, RESEED)
GO
INSERT dbo.TravelLog
(
CityID,
StartDate,
EndDate
)
VALUES
(4, '2025-09-14', '2025-09-17')
GO
What is the identity value for the new row inserted by the insert statement above? See possible answers