C# and F# language binding and extensions to Apache Spark

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

Ruby wrapper for Apache Spark

Spark RDD with Lucene's query and entity linkage capabilities

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

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

A framework for Spatio-Temporal Data Analytics on Spark

Pyspark in Google Colab: A simple machine learning (Linear Regression) model

Code/Notes for the Data Engineering Zoomcamp by DataTalksClub

InfluxDB connector to Apache Spark on top of Chronicler

Causal Inference Using Quasi-Experimental Methods

SQLRDD for Harbour and Harbour++

Spark access to Common Information Model (CIM) files

pyspark dataframe made easy

Guide to Clojure REPL Driven Development with Emacs Doom

Sentiment Analysis and Data Visualization

:pencil: Preview your Markdown locally as it would appear on GitHub, with live updating

openmrs - mysql - debezium - kafka - spark - scala

rddapp: Regression Discontinuity Design Application

A bunch of low-level basic methods for data processing and monitoring with Scala Spark

One Ring is a framework to unify, unite and bind Apache Spark-based computing modules, and run them in parametrized chains

Imitate and rewrite Spark's RDD (core)

Big Data Recipes

Apache Spark Basics - Java Examples

PySpark es una biblioteca de procesamiento de datos distribuidos en Python que permite procesar grandes volúmenes de datos en clústeres utilizando el framework Apache Spark, ofreciendo un alto rendimiento y un conjunto de herramientas integradas para el análisis y manejo de datos a gran escala.

Apache Spark machine learning project using pyspark

A library having Java and Scala examples for Spark 2.x

sparkhit - analyzing large scale genomic data on the cloud

Package provides java implementation of big-data genetic programming for Apache Spark

Reading, writing and deleting from HBase with Spark RDD