Project based on application of azure databricks

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.

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.

This script builds a linear regression model using PySpark to predict student admissions at Unicorn University.

Objective: Perform word count tasks and joins using spark SQL within a Docker container

Worked on Pyspark file streaming

Repositorio para realizar el curso en Udemy llamado "Airflow2.0 De 0 a Héroe", de la academia "Datapath".