Data Mesh

Build a Self-Serve Data Platform you own this product

This project is part of the liveProject series Build a Small Dockerized Data Mesh
intermediate Python • basic pandas
skills learned
build a self-serve data platform • build a small data catalog • consume data inside a data mesh • store data products
Sven Balnojan
1 week · 6-8 hours per week · INTERMEDIATE

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Look inside

You’re a consultant working for Messflix Inc., a movie and TV-show streaming platform. Your task is to set up a Python prototype implementation of the data mesh to roll out the technical components of a data mesh. Using Python and pandas, you’ll write a Python function that creates an empty CSV file with the predefined attributes of your data product, builds a data catalog by creating Python functions that write to the CSV file, and sets up standardized access to the CSV datasets. When you’re done, you’ll have hands-on experience building a minimal self-serve data platform using simple techniques.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

book resources

When you start your liveProject, you get full access to the following books for 90 days.

project author

Sven Balnojan

Sven Balnojan is a data technologist and product-person focused on helping the world extract more value from the exponentially growing amount of data. He’s passionate about all things data, including machine learning, AI, and business intelligence. As a manager of internal data teams, he’s been integral in easing their transitions from being a service-oriented to platform-oriented data team. He enjoys getting his hands dirty as a data developer, whether in the field of machine learning, data engineering, or data DevOps.

For his PhD in mathematics, Sven wrote a thesis in the field of singularity theory. He’s the co-author of Manning’s Data Mesh in Action and author of the Three Data Point Thursday newsletter. He blogs on and makes appearances in various online talks.


This liveProject is for data architects, developers, and data team members who want to understand the workings of a data mesh. To begin these liveProjects you’ll need to be familiar with the following:

  • Intermediate Python
  • Basic Docker
  • Basic Bash

you will learn

In this liveProject, you’ll learn simple techniques for building a self-serve data platform.

  • Platform thinking (keeping in mind the goal of reducing the work required of users of the platform)
  • Product thinking (understanding the data-producing side as well as the data-consuming side)
  • The concept of a domain data product
  • Load data from a data platform with pandas


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book resources
Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.

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