When building a data warehouse, you often need to flatten the data when you move it from the Raw tables to the Stage tables. Flattening data can be a difficult concept for new warehouse designers to grasp, so here are two detailed examples.
If you're inexperienced with using SSIS, creating a data warehouse might seem like an impossible task—but it's not if you use some different strategies. For example, you can use a wizard to initially create an SSIS package that will move data from the source system into the data warehouse.
In managing a database or sometimes numerous databases, we often get caught up in the day-to-day maintenance and lose sight of the other principles we know are critical to ensuring optimal performance. Here’s a quick refresher....More
Alerts represent a great way to take a proactive stance on being notified or alerted when something ugly, potentially ugly, or important happens on a SQL Server. On most servers that I manage, I typically deploy a whole bevy of different alerts....More