Data Masking: Static vs Dynamic
Learn about how static data masking differs from dynamic masking and learn which one might be best for your organization.
2022-10-07
3,452 reads
data masking
SQL Server Data Masking: a comparison with Gallium Data
Introduction In SQL Server 2016, Microsoft introduced a new feature called dynamic data masking, which allows you to mask the values of certain columns and keep that data hidden from certain users, without having to modify your applications. Let's take a look at how SQL Server does data masking, and compare it to the way Gallium Data […]
2021-12-03
1,920 reads
Masking Data in Practice
Phil Factor takes a strategic look at common SQL data masking techniques, and the challenges inherent in masking certain types of sensitive and personal data, while ensuring that it still looks like the real data, and retains its referential integrity, and distribution characteristics.
2021-01-11
Dynamic Data Unmasking
The SQL Server 2016 dynamic data masking feature may seem like a great way to obfuscate data for downstream systems like dev and QA. Joe Obbish shows us that the data can be “unmasked” with T-SQL statements, so it’s not secure against anyone who can write their own queries.
2020-10-16
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.
2020-09-22
Getting Started with Data Masker for SQL Server: I Want to Mask A Database
Grant Fritchey explains what's involved in masking a SQL Server database. It can seem a daunting task, but it all becomes a lot more logical if you start from a plan, based on agreed data classifications, and then use a tool like Data Masker to implement the masking, and track progress.
2020-06-10
Meeting your CCPA needs with Data Classification and Masking
This article will explain how to import the data classification metadata for a SQL Server database into Data Masker, providing a masking plan that you can use to ensure the protection of all this data. By applying the data masking operation as part of an automated database provisioning process, you make it fast, repeatable and auditable.
2020-03-10
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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