Design of the data warehouse for staging, the lowest level of granularity (history), and the data marts has to be tuned based on how these levels are used. Let’s evaluate some characteristics about each level. STAGING – Staging areas are used as a place to land data for propagation and integration
Tag: data management
In my previous post, I talked about planning your MDM initiative and the importance of data quality and data governance to the effort. Today, we're going to drill in a bit into Master Data Management Foundations, a SAS offering unique in the marketplace that serves as a bridge between data
The "Internet of Things" is the latest buzzword characterizing the machine-generated big data that has outstripped our ability to derive value from it. Think of UPS delivering 16 million packages every day through various hubs and all the logistics and decisioning that goes into that. But how does an organization
I work with some fabulous people! They are team players, motivated and ready to take on the world. These are the Millennial Generation or Generation Y. These people were born in the technology age and expect data to be at their fingertips, which gives information technology (IT) a bit of heartburn when it comes
My new favorite game is quite addictive, simple and, believe it or not, free. I call it "Stumped by Google Autocomplete." Here's how it works: type any word or phrase into Google, and see what Google suggests with it's Autocomplete function. Like all things Google, this feature learns from searches
When you hear the term “business rules,” what comes to mind? Some examples would be constraints in a query, a data mapping, a data quality constraint, a data transformation, a model or an algebraic equation. It can also be a policy that must be enforced as part of a business
The challenge of data/information management practitioners attempting to initiate an analytics program intended to benefit a target audience is that after the analysis is completed, there is no control over how the results are used, or if those results are used at all. In my last post, we considered modeling
If you work in the software industry, seeing technologies emerge and catch fire is a great spectator sport. Whether it's a programming language, a platform or something like e-commerce, each new wave ripples throughout the industry. Currently, Hadoop is having its time in the sun, and we are all trying
Data stewardship is one of the prime positions in any data management organization. The business and technical stewards are the conduit between the organizing functions in the management structure (which determine policies and processes for data management) and the data management functions that perform the actual work, such as data
One of the hottest job descriptions in the data management field in the last couple of years is the position of “data scientist.” The rise of this job description matches the rise of the concept of big data – data sources that are very large in volume, change frequently, and