First an apology: It has taken me a while to write this second part of the matching blog and I am sure that the suspense has been killing you. In my defence, the last few months have been incredibly busy for the UK Professional Services team, …
Read Article
In my last blog “What is ‘The Data Vault’ and why do we need it?” I introduced a fresh, compelling methodology for data warehouse modeling authored and invented by Dan Linstedt (http://danlinstedt.com) called ‘the Data Vault’. Solving the many characteristic and inherent problems found in crafting …
Read Article
Data Quality (DQ) is an art form. If I was to define two simple rules for a project involving some element of DQ, they would be: Don’t underestimate the time and effort required to get it right Talk to the people who own and use the …
Read Article
Let me introduce myself: My name is Adam Pemble and I am a Principal Professional Services Consultant based in the UK. My area of expertise is MDM (Master Data Management), along with the related disciplines of DI (Data Integration or what was traditionally known as ETL …
Read Article
For anything you might want to do, understanding the problem and using the right tools is essential. Resulting methodologies and best practices that inevitably arise become the catalyst for innovation and superior accomplishments. Database systems, particularly data warehouse systems are no exception, yet does the best data modeling …
Read Article
This is the second in a series of posts on container-centric integration architecture. The first post provided a brief background and definition of the Container architecture pattern. This post explores how Service Oriented Architecture (SOA) and Cloud initiatives converge in API Management, and how Platforms provide the …
Read Article
I recently attended a Gartner presentation on the convergence of Application and Data Integration at their Application Architecture, Development and Integration conference. During the talk they stressed that “chasms exist between application- and data-oriented people and tools” and that digital businesses have to break down these barriers …
Read Article
In this “summer series” of posts dedicated to Master Data Management for Product Data, we go across what we identified as the five most frequent use cases of MDM for product data: MDM for Material Data, MDM for Lean Managed Services, MDM for Regulated Products, Product Information …
Read Article