Longtime author Leo Peysakhovich brings us a new article on error handling when you have procedures nested inside each other.
More and more companies are using data warehouses as a way of consolidating business critical information. And more and more of these companies want the warehouse available 24 hours a day, 7 days a week. This presents interesting challenges for the DBA involved in ETL processing. Longtime author Leo Peysakhovich brings us one solution for this problem.
Datetime data in SQL Server can be a little confusing to work with, especially as many front end languages do not combine the date and time into a single datatype. As a result, T-SQL is sometimes used to manipulate and convert datetime data into more useable formats. Author Leo Peysakhovich has written about some tricks that he uses to reformat and work with datetime data.
One of the big complaints in SQL Server development has been error handling. SQL Server 2005, however, substantially enhances its capabilies in this area and Leo Peysakhovich brings some code that provides a template for adding error handling to your application.
For many SQL Server 2000 DBAs working with text columns in T-SQL is no different than any other datatype. But there are some tricks when you work with very large values that you need to know. Leo Peysakhovich brings us some advanced queries that you might need if you work with large XML documents as he does.
Index Creation Guidelines for SQL Server can be pretty sparse. Usually there are a couple, clustered index for ranges, nonclustered, etc. Leo Peysakhovich has taken some time to write down his guidelines based on his experience for creating indexes and the rational for doing so. He's also taken a few minutes to look at which indexes NOT to create, something that might be worth knowing..
Auditing is becoming more and more important in many SQL Server environments. DBAs are being tasked with setting up, maintaining, and reporting on audit data. Author Leo Peysakhovich brings us one of his solutions to automatically generate an audit trail for your data.