Scalable Data Science, course sets in big data Using Apache Spark over databricks and their mathematical, statistical and computational foundations using SageMath.
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Updated
Aug 29, 2025 - HTML
Scalable Data Science, course sets in big data Using Apache Spark over databricks and their mathematical, statistical and computational foundations using SageMath.
Using U-Net Model to Detect Wildfire from Satellite Imagery
DEPRECATED: Integrating Jupyter with Databricks via SSH
End-to-end data engineer project
The Goal of this project is to provide documentation for the Lakehouse Engine framework.
Samples for Azure Databricks Orientation
This is a group project I worked on with my classmates. This project uses pyspark ML and created a SparkSession object.
Microsoft Azure Container Ecosystem - "nugget" series
Implementation of the "CCF: Fast and Scalable Connected Component Computation in MapReduce" paper with Spark. Study of its scalability on several datasets using various clusters' sizes on Databricks and Google Cloud Platform (GCP)
🏂 A machine learning model that performs topic classification of news articles for media bias analysis. Final project for UC Berkeley MIDS 266 (Natural Language Processing)
Making ODBC connection from Databricks (Azure Databricks) to Azure SQL Database with Azure AD User Access Token.
Stocks Data Analysis In DataBricks - Using SQL and Pyspark
This is a code sample repository for demonstrating how to perform Databricks Delta Table operations.
Tutorial on how to use the Python API for Spark dataframes.
Meu décimo primeiro projeto em que crio um datalakehouse usando computação distribuído no databricks
Apache Spark UI simulator with 30+ educational experiments, pre-recorded job data, and source code examples for learning performance optimization concepts
Alumni Profile Matching is a project aimed at facilitating networking between graduate students and alumni with similar backgrounds and career goals. By leveraging machine learning techniques and data processing pipelines, the project aims to provide graduate students with personalized recommendations of alumni profiles to connect with.
A place to learn data engineering
Ralph Winters Website
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