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.
High-quality data is key to uncovering meaningful insights and new opportunities. Melissa Data has recently released a new tool, Data Profiler, to help companies that are dealing with large quantities of data and need a full spectrum of solutions that work....More
Don't forget to migrate Power BI for Office 365 content before you leave for the holidays. Deprecation of Power BI for Office 365 starts at the end of December 2015. Here is what you need to know to successfully move your business intelligence content to the latest and greatest version of Microsoft Power BI....More