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
3,345 reads
Learn about how static data masking differs from dynamic masking and learn which one might be best for your organization.
2022-10-07
3,345 reads
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
1,805 reads
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
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 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
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
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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I have this data in a SQL Server 2019 database:
Customer table CustomerID CustomerName 1 Steve 2 Andy 3 Brian 4 Allen 5 Devin 6 Sally OrderHeader table OrderID CustomerID OrderDate 1 1 2024-02-01 2 1 2024-03-01 3 3 2024-04-01 4 4 2024-05-01 6 4 2024-05-01 7 3 2024-06-07 8 2 2024-04-07I want a list of all customers and their order counts for a period of time, including zero orders. If I run this query, how many rows are returned?
SELECT c.CustomerName, COUNT(oh.OrderID) FROM dbo.Customer AS c LEFT JOIN dbo.OrderHeader AS oh ON oh.CustomerID = c.CustomerID WHERE oh.Orderdate > '2024/04/01' GROUP BY c.CustomerNameSee possible answers