The data warehouse is now middle-aged. BI has turned twenty and the data lake ten. So, is it time for something new? Something better? In fact, three new frameworks have recently emerged: data fabric, data mesh, and data lakehouse.

But what are they? Are they truly novel or simply marketing hype? In essence, all three are competing technological responses to the growing needs of digital transformation. If you are facing the urgent challenges of delivering high-value, consistent, and near real-time information across Cloud and on-premises environments, understanding these approaches and their differences is critical. Learn if you should move beyond your existing data warehouse or lake and, if so, how.

In this course, Barry Devlin explains and positions data fabric, mesh, and lakehouse, as well as other concepts, old and new, using a logical digital information systems architecture framework. Exploring existing and emerging technologies as well as organisational issues, methodologies, and implementation approaches, Barry will help you decide if one of these new approaches is right for your business needs, existing technical environment, and current skills.