2016-04-13
1,206 reads
Dynamic Data Masking
Exploring SQL Server 2016 Dynamic Data Masking – Part Two - Masking and Exporting Data in Existing Tables
Dynamic Data Masking allows you to obscure your confidential data column values at the database engine level for both new and existing SQL Server data. Being able to alter the definition of an existing column to add a masking rule makes it very simple to obscure your existing column values without even changing your application code.
2016-04-07
4,873 reads
2016-03-21
1,345 reads
Stairway to Dynamic Data Masking
This stairway will examine Dynamic Data Data Masking, introduced in Azure SQL Database and SQL Server 2016. This should allow you to implement Dynamic Data Masking in your application, understanding the implications of the various masks used on different datatypes.
2016-03-15
4,047 reads
2016-03-08
1,156 reads
Exploring SQL Server 2016 Dynamic Data Masking – Part One
Greg Larson looks at how to hide the value of sensitive data by applying Dynamic Data Masking.
2016-03-01
5,302 reads
Understand the Limitations of SQL Server Dynamic Data Masking
Dynamic data masking provides a simple way to implement obfuscation of private data. However it's important to understand the limitations, and to keep in mind that it is not true encryption and that the data cannot be protected in all scenarios. Aaron Bertrand explains.
2015-09-03
3,475 reads
2015-08-10
2,181 reads
Use Dynamic Data Masking in SQL Server 2016 CTP 2.1
SQL Server 2016 introduces a new security feature called Dynamic Data Masking (DDM). This tip describes its purpose, shows a brief example of how it works, lists some limitations, and notes how the feature has already changed since CTP 2.0 was first released in May.
2015-07-15
2,728 reads
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Question of the Day
RegEx Functions IV
I have this data in a table in a SQL Server 2025 database:
EmailAddressID EmailAddress 7 dylan0@ADVENTURE-WORKS.COM 8 Diane1@ADVENTURE-WORKS.COMIf I run this query, which row(s) are returned?
SELECT top 10 * FROM person.EmailAddress WHERE REGEXP_LIKE(EmailAddress, '^D', 'i') AND BusinessEntityID IN (7,8)See possible answers