Featured Database Articles
Often while reporting you will encounter a situation where you will have comma separated values in a single column but you want to report them in rows. In other cases you might have values in multiple rows and want them to be a single value separated by comma or some other character. Arshad Ali demonstrates how to write queries in SQL Server to handle these scenarios quickly.
In one our articles recently published on this forum, we described the process of deploying a Windows Server 2012 R2 into an Azure Infrastructure as a Service (IaaS) virtual machine using the latest gallery image. This was meant to constitute the first step of the process involving prestaging a setup of SQL Server 2014. Now we are ready to initiate the SQL Server setup.
Learn how to use the TOP clause in conjunction with the UPDATE, INSERT and DELETE statements.
According to Jonathan Lewis: "Stoptimisation - the art of optimization by not doing the things you don't need to do." Read on to see what things you may be doing that you shouldn't be doing.
When using BULK COLLECT it's possible to see all of the exceptions thrown for the bulk collection by coding the exception handler properly. Read on to see how to implement such an exception handler.
NULL values in a table can cause Oracle to decide to use a Cartesian join with large data sets. Read on to see one way this can be addressed.
Today, everyone realizes that in order to reach their full performance potential, Big Data applications require some tuning. The tuning isn't easy, it's not free, and responsibility for understanding requirements and implementing the appropriate tuning methodology falls squarely on the shoulders of the database administrator. Read on to learn more.
Big data applications are not usually considered mission-critical: while they support sales and marketing decisions, they do not significantly affect core operations such as customer accounts, orders, inventory, and shipping. Why, then, are major IT organizations moving quickly to incorporating big data in their disaster recovery plans?
As big data application success stories (and failures) have appeared in the news and technical publications, several myths have emerged about big data. This article explores a few of the more significant myths, and how they may negatively affect your own big data implementation.