Data Liability
The issue of who owns data, and who is responsible is one that our world hasn't defined well. Steve Jones has a few thoughts on potential issues for data professionals.
The issue of who owns data, and who is responsible is one that our world hasn't defined well. Steve Jones has a few thoughts on potential issues for data professionals.
References and links about the Stretch to Azure feature in SQL Server 2016.
Phil Factor ponders why most people lost their initial enthusiasm for refactoring databases iteratively, in parallel with the evolutionary design of the rest of the system.
Want to 'trick' SQL Server into performing millions of logical reads to return data, when only are few thousand were really required? In this article, Gail Shaw examines three common forms of generic SQL that can and will confuse the SQL Server Optimizer to the point that it generates and reuses very inefficient execution plans.
Learn how to develop and test a template for logging and error handling in a multi-step SQL stored procedure
Before SQL Server had SQL window functions, SQL Server developers had to use all manner of tricks and algorithms to come up with ways to rapidly process large amounts of data. Do we need these techniques now that we can express a SQL task in terms of window functions? Kathi revisits a famous SQL challenge to find out.
Creating a database in SQL Server running in on-premises with a dedicated storage location for your data in Windows Azure Blob Storage.
If you are deploying SQL Server Availability Groups, one of the important aspects of a successful deployment is monitoring the synchronization of the secondary replica databases with the primary replica - but there are multiple ways to do this. Jonathan Kehayias goes through each, explaining their different benefits and drawbacks.
Marcin Policht gives an overview of automated management features based on the SQL Server IaaS Agent Azure VM extension.
By Steve Jones
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A conversation with Jan Laš, CIO at HOPI, about what deploying a data agent...
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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