Build a Self-Serve Data Platform

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prerequisites
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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catalog / Data Science

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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 a part of the series Build a Small Dockerized Data Mesh.
This project is designed for learning purposes and is not a complete, production-ready application or solution.

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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