Traffic-Data-Analysis-with-Apache-Spark-Based-on-Mobile-Robot-Data
PySpark-Boilerplate
Traffic-Data-Analysis-with-Apache-Spark-Based-on-Mobile-Robot-Data | PySpark-Boilerplate | |
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1 | 1 | |
10 | 391 | |
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0.0 | 2.5 | |
about 2 years ago | 4 months ago | |
Python | Python | |
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Traffic-Data-Analysis-with-Apache-Spark-Based-on-Mobile-Robot-Data
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Traffic Data Analysis with Apache Spark Based on Autonomous Transport Vehicle Data
You can access all project on my github repo.
PySpark-Boilerplate
What are some alternatives?
livyc - Apache Spark as a Service with Apache Livy Client
ibis - the portable Python dataframe library
Apache-Spark-Guide - Apache Spark Guide
Optimus - :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
pyspark-starter - Starter pyspark code with a working combination of all versions
cookiecutter-django - Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly.
spark_app_twitter - A data engineering project (Twitter monitor app)
etl-markup-toolkit - ETL Markup Toolkit is a spark-native tool for expressing ETL transformations as configuration
pyspark-on-aws-emr - The goal of this project is to offer an AWS EMR template using Spot Fleet and On-Demand Instances that you can use quickly. Just focus on writing pyspark code.
soda-spark - Soda Spark is a PySpark library that helps you with testing your data in Spark Dataframes
TypedPyspark - Type-annotate your spark dataframes and validate them
tdigest - t-Digest data structure in Python. Useful for percentiles and quantiles, including distributed enviroments like PySpark