Application Spark calculant la température moyenne par mois d'après des données d'entrée

Sentiment Analysis and Data Visualization

Streaming data in Spark and doing data analytics

PySpark Algorithms Book: https://www.amazon.com/dp/B07X4B2218/ref=sr_1_2

This project aims to more closely represent what happens in the brain by simulating a spiking neural net. It uses RDD to try and learn from the edge cases too!

This Algorithm count the most common expresion in a text. The expresion is composed by 2,3,4 or 5 words. Created on Python over SPARK

In this simple project, I am playing with the data sets of the city of Montreal counting the number of neighborhoods finding the largest ones, their different types, and so on using RDDs.

Code for part 1 and 2 of the project for the TDT4305 Big Data Architecture course. The PDFs with description of project is added to the repo.

CC4Spark enables to generate XES event logs from distributed data sources, and solve conformance checking alignment problems in distributed environments.

Project: Spark SQL & DataFrames - Course: Advanced Topics in Databases (9th semester) NTUA

PageRank - Pig vs PySpark comparison https://madoc.univ-nantes.fr/mod/assign/view.php?id=1511791

Big Data Project - Utilizes PySpark (RDD), Flask, Docker

[ECE NTUA] Advanced Topics in Databases - Course project (2022-2023)

ECE NTUA Assignment

Repo to contain the assignments for DSCI 553: Foundations and Applications of Data Mining course at USC

O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian

Solved various big data problems using pySpark . Variety of Tranformations and Actions are applied on RDDs and Data-Frames to extract different insights from various Data-Sets which are very huge in file ranging in GBs.

Apache Spark Demo