Modern Data Management Architecture: Expanding Analytics Capabilities 

Data management architecture has changed substantially in recent years and continues to evolve at a steady pace, with much of the evolution driven by data demands of advanced analytics and data science. Many architectural concepts and frameworks have emerged recently including data fabric, data mesh, and data network (aka, zero copy integration). In this session we will explore these trends to understand the purpose and structure of each and to highlight the similarities and differences. Perhaps most importantly, we’ll consider how modern practices can evolve your existing architecture without requiring that you rebuild your data management approach from scratch. You will learn:

• The what and why of data fabric, data mesh, and data network
• How fabric, mesh, and network can work together
• How to avoid “Big Bang” with planned evolution of your architecture

Speaker: Dave Wells

Consultant, Educator, Analyst

Dave Wells is an experienced Data Management professional who works in multiple roles as an architect, educator, and author. As an architect he provides advisory consulting and reviews and defines frameworks and design patterns for Data Management Architecture. As an educator he is the Director of Education and an instructor at eLearningCurve. As an analyst he contributes articles and blogs regularly at eckerson.com about Data Management, Analytics, and related topics. More than forty years of information systems experience combined with over ten years of business management give him a unique perspective about the connections among business, information, data, and technology. Knowledge sharing and skills building are Dave’s passions, carried out through consulting, speaking, teaching, and writing.