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prerequisites
intermediate Python • basic pandas
skills learned
understand distributed domain ownership • produce data inside a data mesh • produce derived domain data products
Sven Balnojan
1 week · 6-8 hours per week · INTERMEDIATE
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Messflix Inc., a movie and TV-show streaming platform, wants to build a recommendation system for its movies and shows, but currently, its data landscape is too complex. As a consultant, your task is to implement a data mesh for an improved, accurate flow of its data. Using Python and JSON, you’ll help the data engineering teams sift more easily through Messflix’s data by creating separate, structured data products that can be pushed to the central data platform. From the organized data products, you’ll create a list of recommended movies, tailored to Messflix’s customers’ preferences.

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

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 datacisions.com and makes appearances in various online talks.

prerequisites

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:

TOOLS
  • Intermediate Python
  • Basic Docker
  • Basic Bash

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