What is Data Mesh? Simply stated it's a way how to organize data management in a way that's scalable and allows organizations to evolve their data management quickly and effectively. It looks a lot like API management...
With @SimonHarrer of INNOQ, creator of Data Mesh Manager, we talk about the four pillars of data mesh, team structures for data mesh, and we also look at a concrete example. Along the way, we explore the many similarities with the API space, both in the main pillars as well as in terms of team structures.
Data Mesh at this level is a concept of how to organize data management in a decentralized way. It does not imply any specific technologies or technical architectures. To explore further, here are two resources about architecture and governance:
👉 Data Mesh Architecture: The Why, What, and How of Data Mesh - [ Ссылка ]
👉 Data Mesh Governance by Example: Examples for guiding values, an operating model, and global policies - [ Ссылка ]
📎 Simon Harrer on LinkedIn: [ Ссылка ]
📎 Erik Wilde on LinkedIn: [ Ссылка ]
If you're interested in regular news from the API space, including updates about new trends and technologies, subscribe to "Getting APIs to Work" here: [ Ссылка ]
#api #gettingapistowork #digitaltransformation #datamesh #datamanagement
00:00 Introduction
00:23 RIP Stefan Tilkov
01:43 What is a Data Mesh?
03:03 The Four Pillars of Data Mesh
03:22 Pillar #1: Domain Ownership
03:34 Pillar #2: Data as a Product
03:59 Pillar #3: Self-Service Platform
04:11 Pillar #4: Federated Governance
04:30 Parallels to API Concepts
05:59 Data Mesh Team Structures
07:59 Data Mesh Example
10:37 Towards Data Contracts
12:56 Closing Words
