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Don't refresh or navigate away from the page.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 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:
TOOLSIn this liveProject, you’ll learn techniques for registering data products, pushing data into them, and creating new data products from old ones.
geekle is based on a wordle clone.