Data Mesh in Practice

Closing Remarks

Let’s reflect on the topics we have introduced and how you can apply those ideas moving forward. As a first step, we described how the prevalent analytical data setups with their centralized nature have ultimately led to the development of the data mesh concept. After introducing the main pillars of data mesh, we took you on a journey on how you get started, how you scale, and how you sustain your data mesh. Finally, we have shared with you some common pitfalls and best practices that we have observed across the industry.

We hope we have provided you with lots of food for thought, but likely the most pressing question for you now is how you can turn this into something practical. As a starting point, it is important that you reflect on the different parts of the data mesh concept and understand which parts are most relevant for your organization. As a next step, we can strongly advise starting conversations on the topic with the people around you in your organization. Do not shy away from sharing your thoughts and considerations, but also make sure that others are provided with the material to get up to speed themselves. Training and education are key to a successful data mesh journey. Lastly, join the conversation! Data mesh—at the time of this writing—is a strongly debated topic across the industry. Contribute to the discussions and help us draw out this journey together.