2007-12-24
3,465 reads
2007-12-24
3,465 reads
2007-12-14
2,750 reads
In this sample chapter, William R. Vaughn gives you a kick-start on designing relational databases that can perform better, be easier to maintain, and be more successful thanks to a combination of formal rules and informal suggestions to normalize your database.
2007-12-10
3,397 reads
The author explains an application development approach advocated by many proponents of agile application development that can cause future problems for developers, while potentially sacrificing the integrity and reusability of the data.
2007-11-28
3,689 reads
A new series by Steve Jones that tackles a basic design of a few tables. Read the scenario, look over this design, and see if you can find the problems.
2007-11-20
8,772 reads
SQL programming guru Joe Celko offers a classification scheme and advice on using the right keys.
2007-10-25
3,595 reads
Views are one of the more basic constructs in SQL Server, but often it seems that developers are not sure when to use them. SQL Server expert DBA and trainer Andy Warren brings us a look at views as an abstraction layer in your database.
2007-10-25
5,057 reads
This month's installment of "Developing a Complete SQL Server OLTP Database Project" covers searching encrypted data, dictionary attacks, and look-ups by hashed value.
2007-10-01
1,557 reads
Continuing with this series looking at encryption functions.
2007-09-28
2,381 reads
By Vinay Thakur
As this is an Artificial Intelligence (AI) World, things are changing. We can see that...
In a containerized app, React and Chakra UI provide a robust and accessible user...
By Steve Jones
nachlophobia – n. the fear that your deepest connections with people are ultimately pretty...
Hello I need help identifying all records that have consecutive hours (time in order)...
hi, I have a table called Rules Create table Rules ( Id int ,...
I am currently upgrading a very old database running SQL Server 2008 to SQL...
What is returned from this query?
SELECT ( SELECT COUNT (*) FROM Sales.SalesOrderHeader AS soh WHERE soh.OrderDate >= '01/01/2011' AND soh.OrderDate < '01/01/2012') AS OrdersIn2011 , ( SELECT COUNT (*) FROM Sales.SalesOrderHeader AS soh WHERE soh.OrderDate >= '01/01/2012' AND soh.OrderDate < '01/01/2013') AS OrdersIn2012 , ( SELECT COUNT (*) FROM Sales.SalesOrderHeader AS soh WHERE soh.OrderDate >= '01/01/2013' AND soh.OrderDate < '01/01/2014') AS OrdersIn2013;See possible answers