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
Introduction Microsoft released SQL Server on Linux, starting from SQL Server 2017. SQL Server 2019 (15.x) has the same underlying database engine on all supported platforms, including Linux. Therefore, many existing features and capabilities operate the same way on Linux. Platform File System Red Hat Enterprise Linux 7.3, 7.4, 7.5, 7.6, or 8 Server XFS […]
2020-06-01
2,385 reads
What is the easiest way to move SQL Server system databases. Let me walk you through it!
2020-05-25
30,271 reads
There are a number of ways to generate key values in SQL Server tables including the IDENTITY column property, the NEWID() function and more recently, SEQUENCES. The IDENTITY column property is the earliest of these methods. It was introduced very early in the history of SQL Server and it is arguably the simplest approach. Though old, IDENTITY is still maintained in modern versions of SQL Server and is still relevant for simple use cases.
2020-05-21
8,500 reads
This script can install Service pack, security patch and Cumulative update on SQL instance(Database Engine).
2020-05-26 (first published: 2020-05-19)
1,817 reads
Carlos Robles explains how to use Azure Data Studio Notebooks to create SQL containers with Python.
2020-03-24
2,830 reads
Learn how to format your SQL Server results in Excel using conditional formatting to quickly identify patterns and issues.
2020-03-10
In this article you will learn how to use BCP for SQL Server on Linux to export and import data using the BCP command line utility.
2020-01-30
10,947 reads
Learn how to correctly fix your SSISDB without using Trustworthy.
2020-01-28
20,072 reads
Learn how to configure SQL Server and Windows to allow others to connect to an instance remotely.
2020-01-06
137,276 reads
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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