Why Data Mesh: Decentralizing Data Management

Data management is a popular topic today and many organizations are wondering how to best scale their data management practices. #DataMesh is one popular approach that starts from the idea that decentralized data management scales better in today's data-rich world.

Simon Harrer of INNOQ, creator of Data Mesh Manager, talks about the typical pains that organizations have, and how a decentralized approach can overcome these problems. Interestingly, this is rather similar to the approaches that we see in software engineering and API management, where #DevOps and #PlatformEngineering are approaches that many organizations use for scaling their practices.

In this video we focus on the "Why" of Data Mesh, talking about the pains that organizations have, why bigger centralized teams are not the answer, and how decentralization can help organizations to better scale their data management. If you are interested in more details about "What" the Data Mesh approach is and how it works, here's a video with more details:

🎥 What is Data Mesh? Managing Data for Speed and Scale -    • What is Data Mesh? Managing Data for ...  

With #AI and #GenAI both fueling the need for data and on the other hand exposing new data, data management will continue to be a highly relevant topic in the coming years. We'll probably see decentralization becoming the standard pattern in more advanced organizations, and Data Mesh does provide one answer how to best go that route.

📎 Simon Harrer on LinkedIn: www.linkedin.com/in/simonharrer/

📎 Erik Wilde on LinkedIn: www.linkedin.com/in/erikwilde/

#api #apimanagement #datamesh #datamanagement #decentralization #gettingapistowork #digitaltransformation


00:00 Introduction
00:42 Why do people look at Data Mesh?
01:02 Pains with central data teams
02:02 Why not just scale the centralized team?
03:10 Why decentralized data management?
04:23 How do I do it?
04:42 The four pillars of data mesh
05:10 Wrap