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A distributed data integration framework that simplifies common aspects of big data integration such as data ingestion, replication, organization and lifecycle management for both streaming and batch data ecosystems.
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.
The dbsched bundle is preconfigured with the Pado scheduler to periodically execute jobs that dump database tables to CSV files from which it automatically extracts column information to generate the corresponding VersionedPortable classes. It then transforms the CSV records to objects using the generated classes before ingesting them into Hazel…