riju18/apache-iceberg-kickstart

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miltiadiss/CEID_NE4348-Big-Data-Management-Systems

This project implements a real-time data pipeline with Kafka, Spark, and MongoDB. It generates vehicle data using UXSIM, streams it to a Kafka broker, processes it with Spark, and stores raw and processed data in MongoDB. Queries analyze vehicle counts, speeds, and routes over specified periods.

Language: Python - Size: 4.88 MB - Last synced at: 5 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

LalitSharma7/F1-Data-Analysis

Project based on application of azure databricks

Language: Python - Size: 28.3 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

victorlifan/Sparkify--Pyspark-Big-Data-Project

This project performed data wrangling, analysis, visualization as well as machine learning prediction on a hypothetical music app's user churn with pyspark.

Language: Jupyter Notebook - Size: 33.9 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

Munanga/Pyspark-Analysis

Sample analysis done using pyspark on parking violations issued for fiscal year 2017 using the databricks platform

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yhskgo/pyspark_deep_learning

Language: Jupyter Notebook - Size: 141 KB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0

hd-zhao-uu/1TD169_Project

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johngodoi/learning_pyspark

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adharangaonkar/ETL-Pipelines

A repository concentrating on using High end parallel pipelines to perform ETL across various data sources

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jpoberhauser/dist_comp_final

NBA shot predictions with PySpark and SparkML

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