Data Mesh

Ensure Computational Governance you own this product

This project is part of the liveProject series Build a Small Dockerized Data Mesh
prerequisites
intermediate Python • basic pandas • basic knowledge of one NLP package
skills learned
understand computational governance • implement data policies for data products as well as individual data pieces
Sven Balnojan
1 week · 3-5 hours per week · INTERMEDIATE
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liveProject This project is part of the liveProject series Build a Small Dockerized Data Mesh liveProjects give you the opportunity to learn new skills by completing real-world challenges in your local development environment. Solve practical problems, write working code, and analyze real data—with liveProject, you learn by doing. These self-paced projects also come with full liveBook access to select books for 90 days plus permanent access to other select Manning products. $19.99 $29.99 you save $10 (33%)
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Look inside

The development teams at Messflix, a movie and TV-show streaming platform are pushing domain data products through their newly implemented data mesh. Now the CTO has tasked you, their consultant, with striking a balance between the benefits of the data mesh, the freedoms the data products have, their usefulness, their interoperability, and aspects of their security. You’ll use Python and pandas to write policies that check the registration and pushed data, helping users provide all the required registration information. You’ll create tooling to classify data into categories for improved data labeling, and protect sensitive data with pseudonymization functions. When you’re done, you’ll have learned skills for federated computational governance that balance the benefits of data products with the benefits of the data mesh.

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 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

you will learn

In this liveProject, you’ll learn skills for computational governance that balance the usefulness, interoperability, and security aspects of data products with the benefits of the data mesh.

  • Understand computational governance
  • Implement data policies for data products as well as individual data pieces

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Self-paced
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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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