Writing Better T-SQL: Top-Down Design May Not be the Best Choice – Part II
A second part to the series by Mickey Stuewe on writing better T-SQL looks at some of the issues of using views in a complex query.
A second part to the series by Mickey Stuewe on writing better T-SQL looks at some of the issues of using views in a complex query.
A second part to the series by Mickey Stuewe on writing better T-SQL looks at some of the issues of using views in a complex query.
So many of the problems that organisations have with their IT applications are due to the struggle with data, in the absence of overall organization-wide control and supervision of data and its progress through the various parts of the organization. Master data management (MDM) offers a solution to the many data woes by controlling data change, It does it in an analogous way to Version Control, so that changes are cleansed, checked, tracked and audited, and any named version can be published to other services. Now Microsoft has an implementation as part of the data platform.
Learn how to use the login commands included with SSMS2016 from PowerShell.
Finding a balance between work and life away from work is hard, but one good way is with periodic vacations. Today Steve Jones notes that some people don't take their vacation, which he sees as a problem.
When writing T-SQL code, we often write code to check if the database object exists first and then take some action. In this tip John Miner covers the new and easier way to do this in SQL Server 2016.
With the introduction of temporal table support in SQL Server 2016 Microsoft also added some additional functionality that makes it easy for you to join the current and history records of a system-versioned table. Greg Larsen shows you some of the different ways to do analysis of your system-versioned records over time.
This week Steve Jones argues against stored procedures. Is it a good argument or do want to stick with your stored procedures.
Simple steps towards understanding what is an Odds Ratio, and how do we arrive at it using TSQL and R scripts.
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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