Projects in Awesome Lists tagged with pyspark-sql
A curated list of projects in awesome lists tagged with pyspark-sql .
https://github.com/camilajaviera91/sql-mock-data
Generate a synthetic dataset with one million records of employee information from a fictional company, load it into a PostgreSQL database, create analytical reports using PySpark and large-scale data analysis techniques, and implement machine learning models to predict trends in hiring and layoffs on a monthly and yearly basis.
connection faker locale logging matplotlib os postgresql psycopg2 pyspark pyspark-sql python random random-python shutil sparksession sql sys unicode
Last synced: 17 May 2026
https://github.com/thunchanokbow/inventory-amazon
Inventory value is also important for determining a company's liquidity, or its ability to meet its short-term financial obligations. A high inventory value can indicate that a company has too much money tied up in inventory, which could make it difficult for the company to pay its bills.
azure bigquery cloudcomposer clouddatabase cloudstorage compute-engine dataproc postgresql powerbi pyspark-sql python3
Last synced: 12 Apr 2026
https://github.com/neha-dev-dot/pyspark-tutorial
This repository is part of my journey to learn **PySpark**, the Python API for Apache Spark. I explored the fundamentals of distributed data processing using Spark and practiced with real-world data transformation and querying use cases.
actions data-partitioning dataframes pyspark-basics pyspark-sql rdds sparkbasics sparkcontext sparksession transformations udfs window-functions
Last synced: 17 Apr 2026
https://github.com/essien1990/apache-spark
Batch Processing using Apache Spark and Python for data exploration
apache-spark jupyter-lab jupyter-notebook pyspark pyspark-sql python3
Last synced: 14 Apr 2026
https://github.com/vincentlimarus/machinelearning-models
Clustering vs Classification
classification clustering machine-learning pyspark pyspark-sql
Last synced: 22 Jul 2025
https://github.com/vara-co/home_sales
Module 22 challenge: Using Google Colab to work on Big Data queries with PySpark SQL, parquet, and cache partitions
big-data big-data-analytics cache google-colab google-colaboratory parquet pyspark pyspark-sql
Last synced: 28 Mar 2025
https://github.com/camilajaviera91/pyspark-first-approach
This code demonstrates how to integrate PySpark with datasets and perform simple data transformations. It loads a sample dataset using PySpark's built-in functionalities or reads data from external sources and converts it into a PySpark DataFrame for distributed processing and manipulation.
curses fpdf google-oauth2 gspread kaggle kaggle-api matplotlib os pandas path pathlib pyspark-python pyspark-sql shutil sparksession
Last synced: 07 May 2026
https://github.com/wb-az/mlib-pyspark-soundlevel-prediction
Creates a ML Pipeline leveraging PySpark SQL and PySpark MLib to predict sound level
correlation-analysis data-engineering-pipeline data-science grid-search mean-absolute-error mean-square-error metrics multivariate-regression nasa pyspark pyspark-mllib pyspark-sql python r-squared regressor rmse sound-processing
Last synced: 05 Mar 2025
https://github.com/bayunova28/airbnb_market_analytics
This repository contains about data analytics project using PySpark SQL for Airbnb at NYC
airbnb business-intelligence data-analytics data-engineering data-science data-visualization pyspark-sql
Last synced: 05 Apr 2025
https://github.com/nazif96/disease-prediction
Cardiovascular Disease Prediction
pandas-python pyspark pyspark-ml pyspark-sql python3 scikit-learn
Last synced: 18 Apr 2026
https://github.com/lefteris-souflas/spark-movies-analytics
Utilizing Apache Spark & PySpark to analyze a movie dataset. Tasks include data exploration, identifying top-rated movies, training a linear regression model, and experimenting with Airflow.
apache-airflow cross-validation dag data-splitting hyperparameter-tuning linear-regression model-evaluation one-hot-encoding pipeline pyspark pyspark-mllib pyspark-sql spark-session
Last synced: 22 Jul 2025
https://github.com/bhavanachitragar/data-analysis-using-pyspark
Working with pyspark module in python and using google colab environment in order to apply some queries to the dataset. The dataset consist of two csv files listening.csv and genre.csv. Also, visualizing query results using matplotlib.
data-analysis google-colab pyspark-sql
Last synced: 30 Jun 2025