GitHub / coderjolly / pyspark-yelp-data-analysis
A comparative study to understand the computing efficiencies of Pyspark architectures vs python based distributed programming methodologies such as MPI, multi-threading or multi-processing on the Yelp kaggle dataset.
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PURL: pkg:github/coderjolly/pyspark-yelp-data-analysis
Stars: 0
Forks: 0
Open issues: 0
License: gpl-3.0
Language: Jupyter Notebook
Size: 16.8 MB
Dependencies parsed at: Pending
Created at: about 2 years ago
Updated at: about 2 years ago
Pushed at: about 2 years ago
Last synced at: 4 months ago
Commit Stats
Commits: 8
Authors: 1
Mean commits per author: 8.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/coderjolly/pyspark-yelp-data-analysis
Topics: distributed-system-design, distributed-systems-challenges, mpi, multiprocessing, multithreading, pyspark, pyspark-python