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 with DbDefence
Data breaches are becoming too common place with some accounts reporting more than 1000 breaches per year with close to 50 million records exposed yearly in the financial, business, education, government and healthcare industries. Learn about how DbDefence performs SQL Server Data Masking as a portion of a three pronged approach to protect your data.
2020-07-01
2020-04-16
125 reads
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
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.
2020-03-06
New release: Mask SQL Server data 3x faster with Data Masker 7
In the latest version of Data Masker for SQL Server, it’s now much easier to rapidly identify sensitive data that needs masking, set up appropriate rules, see which masking rules are applied to which column, and locate what sensitive data you've yet to mask.
We’ve also improved the performance of commonly used masking rules, which lets you run masking operations 3 times faster.
2020-03-02
Quickly Find and Mask all Sensitive Data with Data Masker for SQL Server
Khie Biggs, a software developer on the Data Masker team at Redgate explains how a recent set of Data Masker improvements should make it significantly easier and faster to determine what data needs to be masked, implement a masking plan, and then to apply the masking operation, to protect sensitive and personal data in all the tables and columns of your SQL Server databases.
2020-02-19
Quickly Find and Mask Sensitive Data with Data Masker 6.3.1
Khie Biggs, a software developer on the Data Masker team at Redgate, explains how a recent set of Data Masker improvements should make it significantly easier and faster both to determine what data needs to be masked, and then to apply the masking, to protect sensitive and personal data in the tables and columns of your SQL Server databases.
2019-12-30
Redgate acknowledged as a Representative Vendor in Gartner’s 2019 Market Guide for Data Masking
Data Masking is key to providing realistic test data for DevOps teams while ensuring compliance with GDPR, CCPA, HIPAA and other regulations. Gartner recently published their 2019 Market Guide for Data Masking covering their analysis, recommendations, and Representative Vendors – including Redgate. Get the Complimentary Report.
2019-12-19
Managing Data Masking Rules in Larger Teams using Source Control
What if you have several people in the team who are responsible for data security across your databases, and they need to work together to develop and maintain the data masking configurations, which must then be applied consistently as part of an automated provisioning process? How should they do it? The solution turns out to be simple: source control.
2019-09-06
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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