A curated list of awesome Apache Spark packages and resources.

Learn Apache Spark in Scala, Python (PySpark) and R (SparkR) by building your own cluster with a JupyterLab interface on Docker. ⚡

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

Azure Databricks - Advent of 2020 Blogposts

Real-world Spark pipelines examples

Taller SparkR para las Jornadas de Usuarios de R

Analyzing the safety (311) dataset published by Azure Open Datasets for Chicago, Boston and New York City using SparkR, SParkSQL, Azure Databricks, visualization using ggplot2 and leaflet. Focus is on descriptive analytics, visualization, clustering, time series forecasting and anomaly detection.

Course material for the "Encounters with Big Data" course delivered by the UK Data Service at the 2017 Big Data and Analytics Summer School.

Slides and lab material for the talk R for HPC and big data at http://rsummer.data-analysis.at

Practice and Workshop on BigData and Cloud Computing using Docker Containers and OpenNebula. HDFS, hadoop and spark+R

Taller Big Data con Apache Spark + R desde Databricks cloud

This repository you are browsing contains intermediate level piece of codes which are useful for cleaning, exploratory analysis, handling of missing data points, outlier detection and different visualization techniques using graphics, ggplot2, tidycharts, ggExtra packages. Also in particular part of the script you can get basic information about…

A curated list of essential cheatsheets for data analysis, visualization and machine learning using R or Python

Fit a Cubist regression model on StackOverflow data and make predictions in a distributed manner with SparkR

R notebooks

Data analysis and Model building on large datasets using Hive and Spark

Multiple-Node Standalone Spark with R and Python

Self-service modeling analysis tool based on R language and big data. It integrates SparkR, Rserve, and Mlib machine learning libraries