March 2022
Beginner to intermediate
384 pages
10h 54m
English
Content preview from Data Mesh
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Chapter 13. Design Discovering, Understanding, and Composing Data
Discovering, understanding, and trusting data is a necessary step of data journeys. What makes data mesh’s approach unique is how to discover, understand, and trust data in a decentralized mesh of interconnected and autonomous data products, without creating centralized bottlenecks.
Similarly, composing new data from intersections and aggregations of multiple existing data is a basic function necessary for all data work. Data mesh introduces the ability to compose multiple data products in a decentralized fashion without creating tightly coupled data models that become bottlenecks for change.
This chapter introduces each affordance of data discoverability and composability briefly. I describe data mesh’s position and introduce the design considerations so that each individual data product plays a part, locally, in its discoverability, understandability, and composability. I discuss how these local affordances of a data product surface mesh-level capabilities across many data products without creating tightly coupled synchronization points.
This chapter describes the boundaries of a data mesh approach, what is compatible with the objectives of data mesh, and what is not. The exact specifications are yet to be defined and tested and are outside of the scope of this book.
Discover, Understand, Trust, and Explore
Data mesh defines discoverability, understandability, trustworthiness, and explorability as some of the ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.