You never know what’s going to happen when you click on a LinkedIn job posting button. I’m always on the lookout for interesting and impactful projects, and one in particular caught my attention: “Far North Enterprises, a global fabrication and distribution establishment, is looking to modernize a very old data Read more…
Whenever you get a bunch of technical architects in a room with a whiteboard and markers, it’s not going to be long before somebody goes up to the board and draws a box. Doesn’t matter the kind of architect: solution, application, infrastructure, enterprise, and, yes, data. We love whiteboards. We Read more…
What’s not to love about a good enterprise analytical data consolidation project? You can just see the PowerPoint slide, can’t you? On the left, boxes like stars in a clear night sky, each representing some number of analytical repositories or data sources. On the right, one nice big box. Neat, Read more…
Part 1 of this Data Product Architecture series covered the “where” of Data Product data implementation: federated or consolidated or some combination of the two. Here in Part 2, we’ll get into the “how” of Data Product data implementation: virtual or materialized or some combination of the two. Which to Read more…
Awesome! You’re moving forward with a modern analytics architecture built upon Data Products. Maybe you’re going to implement a Data Mesh and/or Data Fabric. Maybe you’re just looking to make your enterprise analytics more scalable and sustainable. Whatever the reason, you now have a couple of architectural decisions to make; Read more…
From Day One, data warehouses and their offspring—data marts, operational data stores, data lakes, lakehouses, and the like—have been technological work-arounds. In Building the Data Warehouse, the 1992 book that launched modern decision support, Bill Inmon recognized the need for a decision support architecture that was different from the existing Read more…