PySpark-Tutorial provides basic algorithms using PySpark

Big Data Modeling, MapReduce, Spark, PySpark @ Santa Clara University

Data cleaning, pre-processing, and Analytics on a million movies using Spark and Scala.

Various data stream/batch process demo with Apache Scala Spark 🚀

Implementation of Girvan-Newman Algorithm to detect communities in graphs using Yelp dataset

This project builds a scalable log analytics pipeline use Lambda architecture for real-time and batch processing of NASA server logs.

This project utilizes PySpark DataFrames and PySpark RDD to implement item-based collaborative filtering. By calculating cosine similarity scores or identifying movies with the highest number of shared viewers, the system recommends 10 similar movies for a given target movie that aligns users’ preferences.

This project utilizes PySpark RDD and the Breadth-first Search (BFS) algorithm to find the shortest path and degrees of separation between two given Marvel superheroes based on based on their appearances together in the same comic books, empowering users to discover connections between their favourite superheroes in the Marvel universe.

Apache spark is a big data analysis framework.

I have implemented the sample programs using apache spark. The programs have developed on the concepts of Spark RDD and Spark SQL Dataframe.

In this project, we use Spark to visualize, manipulate, model and stream historical flight-delays data using Spark RDD, Spark SQL and Kafka

Projects contains based on Big Data

spark hadoop exercise of cloud computing course - aut 1402-1403 fall

Demonstration of basic data transformations using Spark RDD and Spark DataFrame in Scala

The goal is to train a linear regression model to predict Deerfoot commute times given weather and accident conditions using Spark RDD and MLlib

This program will process legal report via Stanford CoreNLP and index them in ElasticSearch

Advanced Topics in Databases course project - NTUA ECE - 2022-23

Spark RDD basic

A POC written in Java using the Spring framework, which uses Apache Spark to read a file from Amazon S3 FS and counts the number of lines in the file.

Example Spark project using Parquet as a columnar store with Thrift objects.