Presented by David Wells

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