Manage Data Products you own this product

prerequisites
intermediate Python • basic pandas
skills learned
understand product thinking • manage changes in data products • prevent breaks in downstream data products
Sven Balnojan
1 week · 6-8 hours per week · INTERMEDIATE
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Look inside

As a consultant for Messflix Inc., a movie and TV-show streaming platform, you’ll investigate and discover why Meshflix’s recommender system breaks. You’ll brainstorm options for changes that don’t break the system, explore their pros and cons, and choose and implement one of your options. Then you’ll create an internal versioning strategy to support all the great product changes Messflix has planned for the future.

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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