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This big data hadoop project aims at being the best possible offline evaluation of a music recommendation system. Any type of algorithm can be used: collaborative filtering, content-based methods, web crawling. By relying on the Million Song Dataset, the data for this big data project is completely open: almost everything is known and possibly available.
What is the task in a few words? You have:
and you must predict the missing half. How much easier can it get?
The most straightforward approach to this task is pure collaborative filtering, but remember that there is a wealth of information available to you through the Million Song Dataset. For Million Song Dataset Download, click this link - labrosa.ee.columbia.edu/millionsong/. Go ahead, explore!
The goal of this hadoop project is to apply some data engineering principles to Yelp Dataset in the areas of processing, storage, and retrieval.
The goal of this IoT project is to build an argument for generalized streaming architecture for reactive data ingestion based on a microservice architecture.
In this hive project, you will design a data warehouse for e-commerce environments.