Our industry loves new data management paradigms. Even before we’ve mastered one, we discard it in favor of the newest approach to managing data. Every approach has its downsides: the data warehouse can easily become too monolithic and costly; a data lake too ungoverned and unwieldy. But will the newest paradigms—the data mesh and data fabric—prove any better? And are these paradigms convergent or divergent with each other as well as prior paradigms?

Today, it’s generally accepted that it’s impossible to consolidate all corporate information into a data warehouse or data lake. Therefore, we need a new architectural paradigm that queries data where it resides without having to move and consolidate it. It’s also true that many business units have accrued deep data expertise, either through a merger & acquisition or sheer data survival due to enterprise data bottlenecks. As a result, many companies are turning to data fabric to query data in place and the data mesh to empower business domains to generate data products.

It's Eckerson Group’s view that all these paradigms are accretive. Just because you need a data mesh or data fabric, doesn’t mean you forsake core principles of a data warehouse or data lake. And a data fabric and data mesh are inextricably connected, the former serving as the data infrastructure for the latter.

This webinar will explain the core concepts of a data mesh and data fabric, show how they are related, and explain how they augment data warehousing and data lake architectural models.

You Will Learn:

● Core concepts of a data mesh and data fabric

● How data mesh and data fabric can coexist

● How data mesh and data fabric augment existing data paradigms

● Best practices for implementing data architectures