Protecting Personable Identifiable Information is central to the compliance of numerous regulations which your organization may be subject to. In this article Grant Fritchey starts with the basics of obfuscating address data with the data masking technology in SQL Provision.
T-SQL window functions have been a fantastic addition to the T-SQL language. In this article, Kathi Kellenberger reviews how optimizations available in SQL Server 2019 can improve the performance of these functions.
SQL Census helps users understand who has access to their SQL Servers (including Active Directory groups) and simplify existing SQL Server permissions. A new feature reworks discrete user permissions into database roles, giving users the same effective rights in a more controllable structure. Download and use SQL Census (in preview) for free.
Google and Microsoft have plans for dealing with data incidents. Steve thinks you should as well.
In this tip we demonstrate how to use dynamic SQL and stored procedures to simplify the computation with SQL of one-way and two-way tabulations.
Access OS event viewer and read it from a SSIS package using WMI Data reader task
It seems that many companies are implementing AI into their systems. Steve notes that this isn't always a good idea.
A new error message in SQL Server 2019 will make your life much easier!? Learn more...
Privacy regulations, ranging from GDPR to HIPAA, among many others, put strict compliance requirements on the storage and use of personal and sensitive data. In this article Grant Fritchey explains how the data masking technology in SQL Provision can help you protect credit card data while maintaining characteristics and distribution of the real thing.
By Steve Jones
This month we have a new host, Meagan Longoria, who graciously agreed to help...
By Steve Jones
I’m at the UK Redgate office today, meeting with senior leaders in all areas...
Optimizing Azure SQL Database performance often begins with identifying the most resource-intensive queries. Understanding...
I’ve been learning more about the google knowledge panel and it seems like one...
I’m currently researching the best wireless credit card terminal for a growing business and...
Comments posted to this topic are about the item Creating a JSON Document IV
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 YearEstablished, json_objectagg(city : TeamName) FROM dbo.NFLTeams GROUP BY YearEstablished;See possible answers