Personal Privacy
A new technique to help anonymize medical research data has been developed, and could help with other types of data, but there is an issue.
Sending HTML Newsletters in a Batch Using SQL Server
Sending a large volume of emails can put a strain on a mail relay server. However many people using SQL Server will need to do just that for things like newsletters, mailing lists, etc. Satnam Singh brings us a way to spread out the load by sending newsletters in multiple batches instead of one large process.
Using dates, and times in SQL Server: a workbench approach
In this workbench, Robyn Page provides a gentle introduction to the use of dates in SQL Server. In this new version of her article, it is brought up to date with the newer Datetime features in SQL Server 2005 and 2008.
SQL Connections 2010
This year SQLServerCentral is sponsoring another track at the SQL Connections conference in Las Vegas.
Time Bomb Design - A Longer Fuse
In a sequel to his first article on Time Bomb Design, David Poole examines the issues we find between development environments and production ones.
SQL Server MasterClass with Kimberly Tripp and Paul Randal
If you will be in London on June 17th, this is an event you do not want to miss.
Working with Spatial Data Part IV - Developing a Geospatial Dashboard (GIS)
In Part IV of the Geo-Spatial series, an interactive dashboard is developed to present and interact with the data.
Query-generated Column Expressions
A technique from Bill Nicolich that allows you to target columns by data type for the same custom expression and easily build complex queries.
The Death March
Are you working too hard? Is it worth it? Steve Jones says that it is not and that you should push back.
Showplan Operator of the Week – BookMark/Key Lookup
Fabiano continues in his mission to describe the major Showplan Operators used by SQL Server's Query Optimiser. This week he meets a star, the Key Lookup, a stalwart performer, but most famous for its role in ill-performing queries where an index does not 'cover' the data required to execute the query. If you understand why, and in what circumstances, key lookups are slow, it helps greatly with optimising query performance.
Blogs
T-SQL Tuesday #198–Change Detection
By Steve Jones
This month we have a new host, Meagan Longoria, who graciously agreed to help...
Redgate and Rome
By Steve Jones
I’m at the UK Redgate office today, meeting with senior leaders in all areas...
Quick Tip: Check Most DTU Expensive Queries in Azure SQL Database
Optimizing Azure SQL Database performance often begins with identifying the most resource-intensive queries. Understanding...
Forums
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Creating a JSON Document IV
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Restoring Azure Key Vault Keys and Validating SQL Server TDE Recovery: Level 7 of the Stairway to TDE
By VishnuGupthanSQLPowershellDBA
Comments posted to this topic are about the item Restoring Azure Key Vault Keys...
Question of the Day
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