It's that time of year again where almost 50 million Americans travel home for Thanksgiving. We'll share a smorgasbord of turkey, stuffing and vegetables and discuss fun political topics, all to celebrate the ironic friendship between colonists and Native Americans. Being part Italian, my family augments the 20-pound turkey with pasta –
Search Results: data warehouse (170)
Why they will still play a valuable role in organizational data-management and -integration efforts.
Twenty-five years ago (when I was 12 years old), we realized that data, across the corporation, was not integrated. Nor did our data let us predict the future by looking at the past. So we started creating these stores of historical data soon to be called “data warehouse.” Here are
Hadoop recently turned eight years old, but it was only 3-4 years ago that Hadoop really started gaining traction. It had many of us “older” BI/DW folks scratching our heads wondering what Hadoop was up to and if our tried-and-true enterprise data warehouse (EDW) ecosystems were in jeopardy. You didn't
Lately, there's been lots of buzz around the logical data warehouse (LDW). In fact, Gartner is hearing LDW mentions as part of data warehouse (DW) inquiries almost 20% of the time and considers it a "megatrend." The definition usually includes some use of data virtualization or data federation capabilities to complement
Data warehouse (DWH) environments have typically been the standard when it comes to supporting analytical environments. There can be many systems supporting a particular modeling or analytical group, and because these groups have varying requirements for data, the replicated data is maintained because the transition to new storage and computing
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
Joyce Norris-Montanari explains why your data warehouse may have more records than your master data.
David Loshin's new blog post: Enhancing the master data via data warehouse consolidation.
The last thing you want to result from a data warehouse consolidation project is the creation of yet another siloed data asset that must be populated and managed with respect to the requirements of the downstream users. To really benefit from a consolidation project, your newly-created consolidated warehouse should replace