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This project aims to predict smartphone prices using a combination of batch and stream processing techniques in a Big Data environment. The architecture follows the Lambda Architecture pattern, providing both real-time and batch processing capabilities to users.
Hybrid database to store, query and analyze waveform data and annotations with an HTTP API. Aimed at storing data that is exclusively needed for analytics (waveforms, annotations, metadata about the type of monitors).
A simple implementation of Search Engine deployed over a Hadoop Cluster. It makes use of MapReduce to generate the Inverted Index and store it in a HBase table.