A curated list of awesome Apache Spark packages and resources.

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

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

Mirror of https://gitlab.com/zero323/dlt

Azure Databricks - Advent of 2020 Blogposts

This is a demonstration of using Spark to explore large dataset, by using PySpark and SparkR. The files include loading data, data exploration and using clustering on words of Shakespeare's novels.

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…

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.

Taller Big Data con Apache Spark + R desde Databricks cloud

Bi and Big Data Analytics, sparkR, Supervised and Unsupervised Machine Learning techniques The project's aim is of applying a supervised and an unsupervised machine learning technique on a dataset to test different models/scenario, interpret the results, perform predictions for each model and visualised the results.

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

R workloads running at scale on Google Cloud

Docker images for testing SparkR builds

Processing massive datasets in Hadoop and SparkR

Multiple-Node Standalone Spark with R and Python

用r、spark做的一些统计分析、机器学习实例，待传

Extra docker images from rocker/tidyverse

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

SparkR Demo

Real-world Spark pipelines examples