Fine-grained Access Control for Stored Procedures
Fine-grained access control for stored procedures using a programmable database proxy
2024-06-14
1,830 reads
Fine-grained access control for stored procedures using a programmable database proxy
2024-06-14
1,830 reads
Learn about how static data masking differs from dynamic masking and learn which one might be best for your organization.
2022-10-07
3,490 reads
Learn how a linked server caused an issue with Gallium Data.
2022-07-15
5,200 reads
While analyzing SQL Server's network protocol, I came across a weird fact: when a database client logs in using SQL Server authentication (as opposed to Windows authentication), it has to send the user's password to the server, in blatant violation of common security guidelines. At first, I couldn't believe it; SQL Server generally does an […]
2022-03-02
5,604 reads
Overview As we all know, data security is a never-ending battle. Every day, we hear of new data breaches. It's a hard problem, and there is no single solution, other than a defense in depth. Let's look at one of those defenses for databases: query control. Query control is a simple idea: most applications access […]
2022-01-07
4,039 reads
Overview Microsoft SQL Server 2012 introduced a feature called data classification, which allows you to mark certain columns with labels, indicating that these columns contain sensitive or special-handling data. For instance, you may want to mark a column containing credit card numbers as "confidential", or sales numbers as "management only". The problem is that you […]
2021-12-10
5,277 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
1,968 reads
A quick look at how the native SQL Server Row-Level Security compares with Gallium Data's solution for limiting access to rows of data.
2021-11-15
3,139 reads
By Vinay Thakur
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I have this data in a table called dbo.NFLTeams
TeamID TeamName City YearEstablished ------ -------- ---- --------------- 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960 5 49ers San Francisco 1946 6 Broncos Denver 1960 7 Seahawks Seattle 1976 8 Patriots New England 1960If I run this code, how many rows are returned?
SELECT TOP 2
json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;
See possible answers