GitHub / aymane-maghouti / Big-Data-Project
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.
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PURL: pkg:github/aymane-maghouti/Big-Data-Project
Stars: 11
Forks: 2
Open issues: 0
License: None
Language: Python
Size: 960 KB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: 6 months ago
Pushed at: over 1 year ago
Last synced at: 5 months ago
Commit Stats
Commits: 19
Authors: 2
Mean commits per author: 9.5
Development Distribution Score: 0.263
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/aymane-maghouti/Big-Data-Project
Topics: apache-airflow, apache-kafka, apache-spark, batch-processing, big-data-projects, hbase, hdfs, ingestion, java, lambda-architecture, machine-learning, postgresql-database, powerbi, pyspark, python, spring-boot, streaming